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Web Servers
Web servers, also known as HTTP servers, are servers that host websites and web applications. Web servers are the backbone of all sites and web apps on the internet. Many popular web servers are open source. Different web servers have advantages and disadvantages when compared to one another, and selecting the right one depends on use case, deployment, operating system, and more.
Application Server Software
Application server software provides a platform for deploying, managing, and running applications, typically for web or enterprise environments. These servers handle the backend logic of applications, facilitating the connection between client devices and databases or other services. Application servers often provide middleware services such as security, transaction management, and messaging, enabling the smooth execution of applications. They are designed to support multiple users simultaneously and ensure high availability, scalability, and performance of applications. This software is commonly used in environments where complex, data-intensive applications are developed, such as in e-commerce platforms, enterprise resource planning (ERP), and customer relationship management (CRM) systems.
Proxy Servers
Proxy servers act as intermediaries between a user's device and the internet, routing online requests through an external server. They mask the user's IP address, enhancing privacy, anonymity, and security while browsing. Proxy servers are commonly used for web scraping, content access control, and bypassing geo-restrictions on region-locked websites. They can be categorized into different types, including data center proxies, residential proxies, ISP proxies, and mobile proxies, each with distinct features and use cases. By filtering, caching, and encrypting data, proxy servers improve browsing speed, reduce bandwidth usage, and protect users from online threats.
Server Backup Software
Server backup software provides tools for backing up and restoring server data to ensure business continuity in the event of data loss, hardware failure, or disaster. These solutions typically offer automated backup schedules, incremental or full backups, and the ability to store data both locally and in cloud storage for redundancy. Server backup software helps businesses secure critical data, including system configurations, files, applications, and databases, enabling quick recovery. Many solutions include features such as encryption, compression, and deduplication to optimize storage usage and enhance security. With robust disaster recovery options, these tools are essential for maintaining uptime and minimizing the impact of unexpected data loss.
Server Monitoring Software
Server monitoring software helps IT administrators track the performance, health, and availability of servers in real-time. These tools collect and display critical data on server resources such as CPU usage, memory consumption, disk space, and network traffic. By setting alerts for anomalies or performance degradation, server monitoring software helps prevent downtime and ensures servers run optimally. It often includes features like log management, automated reporting, and integration with other IT management tools. These solutions are essential for identifying potential issues early and maintaining the reliability of both on-premises and cloud-based server environments.
Dedicated Server Hosting
Dedicated server hosting provides clients with an entire physical server dedicated solely to their needs, offering full control over hardware resources and configuration. This hosting solution is ideal for high-traffic websites, applications, or services that require significant computing power, stability, and performance. Unlike shared hosting, where multiple users share the same server, dedicated hosting ensures that all resources (such as CPU, RAM, and storage) are allocated to a single user or organization. Clients can often choose between managed or unmanaged hosting, with managed services offering additional support like security updates and monitoring. This type of hosting is often used by businesses, ecommerce sites, or large-scale applications that need maximum uptime and customization.
DNS Servers
DNS servers, short for Domain Name System servers, are public servers that provide a protocol that connects domain names to IP addresses so that web browsers and users are able to navigate to a website using a domain name instead of an IP address. Different free and public DNS servers offer varying degrees of speed and performance. Switching from an ISP's default DNS server to a public DNS server can provide enhanced page load speed and security.
Server Management Software
Server management software provides tools and utilities for managing, monitoring, and maintaining servers in a network environment. These solutions enable administrators to configure servers, track their performance, deploy updates, and troubleshoot issues. Server management software often includes features such as system health monitoring, automated patch management, remote access, and backup solutions. By streamlining administrative tasks and improving the efficiency of server operations, these tools help minimize downtime and ensure optimal performance. They are commonly used by IT professionals to manage both on-premises and cloud-based infrastructure.
Server Virtualization Software
Server virtualization software is a form of technology that allows multiple virtualized operating systems to be hosted on the same physical server. This software helps businesses increase their resource utilization and reduce their operational costs by consolidating their IT infrastructure. It also enables them to better manage their server resources and workloads, as well as quickly deploy new servers in support of specific applications. Additionally, this type of software simplifies the process of maintaining and troubleshooting hardware-related issues.
SQL Server Software
SQL server software is a relational database management system (RDBMS) that allows businesses to store, manage, and retrieve data in structured formats using Structured Query Language (SQL). These platforms provide a robust and scalable solution for handling large volumes of data, enabling users to create, read, update, and delete data within relational databases. SQL server software includes features for data storage, transaction management, data security, backup, and performance optimization, ensuring data integrity and availability. It supports a range of applications from small businesses to enterprise-level solutions, offering integration with other business tools and systems. SQL server software is often used in applications requiring high-performance data storage, reporting, and analytics capabilities.
Ad Server Software
Ad server software is a platform that manages and delivers advertisements across various digital properties, such as websites, mobile apps, and other online channels. It allows advertisers and publishers to target specific audiences, optimize ad placement, and track campaign performance. Ad servers facilitate the automation of ad delivery, ensuring that the right ads reach the right users at the right time. These platforms also offer features like real-time bidding, reporting, and analytics to assess the effectiveness of campaigns and maximize revenue. By managing creative assets, user targeting, and performance metrics, ad server software streamlines the ad-serving process for both advertisers and publishers.
Fax Server Software
Fax server software is a solution that allows businesses to send and receive faxes electronically through a network, rather than relying on traditional fax machines. It integrates with existing IT infrastructure, enabling users to send faxes from their computers, email, or other digital devices. Fax server software typically supports features such as document routing, storage, and forwarding, along with features like fax-to-email or email-to-fax capabilities. It helps streamline communication, reduce paper usage, and improve fax management by allowing organizations to centralize and automate fax workflows. Additionally, fax server software can ensure compliance with regulations like HIPAA, where secure transmission of sensitive information is required.
Web to Print Software
Web-to-print software allows businesses and individuals to design, customize, and order printed materials online, streamlining the print procurement process. These platforms provide an interface for customers to upload designs, choose templates, and customize various print products, such as business cards, brochures, banners, and promotional materials. Web-to-print software often integrates with e-commerce platforms, enabling businesses to offer a seamless online ordering experience. It also includes features for managing print jobs, proofing, payment processing, and fulfillment tracking. By using web-to-print software, printing companies can improve workflow efficiency, reduce production errors, and offer a more convenient service to their customers.
Web Conferencing Software
Web conferencing software allows remote users to connect with each other via real-time audio and video. It is usually used to share documents, audio or video chat, or present slideshows during the meeting. Web conferencing software can be used to facilitate remote meetings, training sessions, webinars, and other online collaborations.
Web Design Software
Web design software enables users to create, design, and publish websites without needing extensive coding knowledge. These tools offer visual editors, templates, and drag-and-drop functionality to build attractive and responsive web pages quickly. Many platforms include features like SEO optimization, multimedia integration, and e-commerce support to enhance site performance and user engagement. Web design software often integrates with content management systems to facilitate easy updates and content publishing. Ultimately, it empowers individuals and businesses to establish a professional online presence with less technical effort.
Web Analytics Software
Web analytics software is a type of software that enables businesses track, measure, and analyze the behavior of visitors on their websites. These platforms provide insights into key metrics such as page views, traffic sources, user demographics, conversion rates, and bounce rates. Web analytics software allows organizations to optimize their websites by identifying areas for improvement, understanding user preferences, and measuring the effectiveness of marketing campaigns. It also helps businesses make data-driven decisions to improve user experience, increase website performance, and drive more conversions.
Web Browsers
Web browsers are software applications that enable users to access and interact with websites and other content on the internet. These platforms retrieve, display, and render web pages, allowing users to view text, images, videos, and other multimedia elements. Web browsers typically include features like tabs for managing multiple pages, bookmarking for quick access to favorite sites, browsing history, and privacy options to enhance security. They may also support extensions and plugins to add additional functionality, such as ad-blocking, enhanced security, or content management.
Web Application Firewalls (WAF)
Web Application Firewalls (WAFs) are security solutions that protect web applications by filtering and monitoring HTTP traffic between the application and the internet. They detect and block threats such as SQL injections, cross-site scripting (XSS), and other common attacks targeting application vulnerabilities. WAFs analyze incoming requests in real time, applying customizable security rules to distinguish between legitimate and potentially malicious traffic. Many WAFs are cloud-based, enabling flexible and scalable protection without impacting application performance. By acting as a shield between web applications and attackers, WAFs help ensure data security, regulatory compliance, and uninterrupted user access.
Web Hosting Providers
Web hosting providers are companies that provide online services and technologies necessary to host websites. They offer a wide variety of packages tailored to the needs of different types of customers, from small businesses to large enterprises. These services generally include server maintenance, software updates, customer support, and uptime monitoring.
Bare Metal Server Providers
Bare metal server providers offer physical servers dedicated solely to a client, with no shared resources. These servers are often used for workloads requiring high performance, customization, or full control over hardware configurations. Bare metal servers typically provide greater reliability and performance compared to virtualized environments since they aren't affected by the "noisy neighbor" issue of shared resources. Clients can choose from a variety of configurations and typically have the option to install their preferred operating systems and software. This type of hosting is particularly ideal for resource-intensive applications such as databases, gaming, and large-scale enterprise applications.
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  • 1
    Gradio

    Gradio

    Gradio

    Build & Share Delightful Machine Learning Apps. Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate...
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  • 2
    Altair SLC
    ... Python and R code and exchange SAS language datasets, Pandas, and R data frames. The software runs on IBM mainframes, in the cloud, and on servers and workstations running a variety of operating systems. It supports both remote job submission and the ability to exchange data between mainframe, cloud, and on-premises installations.
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  • 3
    AWS Neuron

    AWS Neuron

    Amazon Web Services

    It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal...
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  • 4
    AWS Trainium

    AWS Trainium

    Amazon Web Services

    AWS Trainium is the second-generation Machine Learning (ML) accelerator that AWS purpose built for deep learning training of 100B+ parameter models. Each Amazon Elastic Compute Cloud (EC2) Trn1 instance deploys up to 16 AWS Trainium accelerators to deliver a high-performance, low-cost solution for deep learning (DL) training in the cloud. Although the use of deep learning is accelerating, many development teams are limited by fixed budgets, which puts a cap on the scope and frequency of...
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  • 5
    MLJAR Studio
    It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available...
    Starting Price: $20 per month
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  • 6
    Ray

    Ray

    Anyscale

    Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch...
    Starting Price: Free
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  • 7
    Pathway

    Pathway

    Pathway

    Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing...
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  • 8
    Azure Notebooks
    Develop and run code from anywhere with Jupyter notebooks on Azure. Get started for free. Get a better experience with a free Azure Subscription. Perfect for data scientists, developers, students, or anyone. Develop and run code in your browser regardless of industry or skillset. Supporting more languages than any other platform including Python 2, Python 3, R, and F#. Created by Microsoft Azure: Always accessible, always available from any browser, anywhere in the world.
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  • 9
    Towhee

    Towhee

    Towhee

    You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. Towhee provides out-of-the-box integration with your...
    Starting Price: Free
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  • 10
    Indigo DRS Data Reporting Systems

    Indigo DRS Data Reporting Systems

    Indigo Scape DRS Data Reporting Systems

    Indigo Scape DRS is an advanced Data Reporting and Document Generation System for Rapid Report Development (RRD) using HTML, XML, XSLT, XQuery and Python to generate highly compatible and content rich business reports and documents with HTML. Representing the ultimate in reporting software our advanced technology and reusable reporting system is a powerhouse in data reporting. Indigo DRS is totally unique in its ability to query in XQuery, Python and SQL and use data from multiple...
    Starting Price: $500 per month / user
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  • 11
    Amazon SageMaker Pipelines
    Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows...
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  • 12
    Modelbit

    Modelbit

    Modelbit

    Don't change your day-to-day, works with Jupyter Notebooks and any other Python environment. Simply call modelbi.deploy to deploy your model, and let Modelbit carry it — and all its dependencies — to production. ML models deployed with Modelbit can be called directly from your warehouse as easily as calling a SQL function. They can also be called as a REST endpoint directly from your product. Modelbit is backed by your git repo. GitHub, GitLab, or home grown. Code review. CI/CD pipelines. PRs...
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  • 13
    Keepsake

    Keepsake

    Replicate

    Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves...
    Starting Price: Free
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  • 14
    MLlib

    MLlib

    Apache Software Foundation

    ​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional Map...
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  • 15
    RunPod

    RunPod

    RunPod

    RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with...
    141 Ratings
    Starting Price: $0.40 per hour
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  • 16
    Azure Machine Learning
    .... Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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  • 17
    Hopsworks

    Hopsworks

    Logical Clocks

    Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on...
    Starting Price: $1 per month
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  • 18
    Google Colab
    Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation...
    8 Ratings
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  • 19
    Google Cloud Datalab
    ... knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly.
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  • 20
    Weights & Biases

    Weights & Biases

    Weights & Biases

    .... Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence.
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  • 21
    IBM Watson Studio
    ... models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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  • 22
    MLflow

    MLflow

    MLflow

    ... and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
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  • 23
    Deepnote

    Deepnote

    Deepnote

    ... - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection
    Starting Price: Free
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  • 24
    Oracle Machine Learning
    Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python...
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  • 25
    Xilinx

    Xilinx

    Xilinx

    ... the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.
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  • 26
    Launchable

    Launchable

    Launchable

    ... uses machine learning to analyze your test failures and source code. It doesn't rely on code syntax analysis. This means it's trivial for Launchable to add support for almost any file-based programming language. It also means we can scale across teams and projects with different languages and tools. Out of the box, we currently support Python, Ruby, Java, JavaScript, Go, C, and C++, and we regularly add support for new languages.
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  • 27
    Hex

    Hex

    Hex

    Hex brings together the best of notebooks, BI, and docs into a seamless, collaborative UI. Hex is a modern Data Workspace. It makes it easy to connect to data, analyze it in collaborative SQL and Python-powered notebooks, and share work as interactive data apps and stories. Your default landing page in Hex is the Projects page. You can quickly find projects you created, as well as those shared with you and your workspace. The outline provides an easy-to-browse overview of all the cells...
    Starting Price: $24 per user per month
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  • 28
    Zepl

    Zepl

    Zepl

    Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your...
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  • 29
    Amazon SageMaker JumpStart
    ... and deployment. SageMaker JumpStart provides hundreds of built-in algorithms with pretrained models from model hubs, including TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. You can also access built-in algorithms using the SageMaker Python SDK. Built-in algorithms cover common ML tasks, such as data classifications (image, text, tabular) and sentiment analysis.
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  • 30
    UnionML

    UnionML

    Union

    Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine...
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