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114 Products for "python tkinter" with 1 filter applied:

  • 1
    Kyoto Tycoon

    Kyoto Tycoon

    Altice Labs

    Kyoto Tycoon is a lightweight network server on top of the Kyoto Cabinet key-value database, built for high-performance and concurrency. Some of its features include. It has its own fully-featured protocol based on HTTP and a (limited) binary protocol for even better performance. There are several client libraries implementing them for multiple languages (we're maintaining one for Python here). It can also be configured with simultaneous support for the memcached protocol, with some limitations...
  • 2
    Dask

    Dask

    Dask

    Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships...
  • 3
    pandas

    pandas

    pandas

    pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form...
  • 4
    Azure Databricks
    Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open...
  • 5
    Cloudera Data Science Workbench
    Accelerate machine learning from research to production with a consistent experience built for your traditional platform. With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop. Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also...
  • 6
    SQLAlchemy

    SQLAlchemy

    SQLAlchemy

    SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. SQLAlchemy considers the database to be a relational algebra engine, not just a collection of tables. Rows can...
  • 7
    Metaflow

    Metaflow

    Metaflow

    Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering. Use Metaflow with your favorite data science libraries, such as Tensorflow or SciKit Learn, and write your models in idiomatic Python code with not much new to learn. Metaflow also supports the R language. Metaflow helps you design your workflow, run it at scale, and deploy it to production. It versions...
  • 8
    RestApp

    RestApp

    RestApp

    RestApp is a No Code Data Activation platform that empowers anyone with an all-in-one solution to connect, model, and sync any data with his favorite tools. RestApp enables Data & Ops teams to activate data in minutes with No-Code by: - Connecting with your favorite databases and business apps - Modeling your data with drag-and-drop SQL, NoSQL and Python functions and then easily creating and sharing your queries with your teammates - Syncing automatically your data with your tools...
    Starting Price: Free
  • 9
    Amazon MWAA
    Amazon Managed Workflows for Apache Airflow (MWAA) is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. Apache Airflow is an open-source tool used to programmatically author, schedule, and monitor sequences of processes and tasks referred to as “workflows.” With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability...
    Starting Price: $0.49 per hour
  • 10
    Seaborn

    Seaborn

    Seaborn

    Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API...
  • 11
    MakerSuite
    MakerSuite is a tool that simplifies this workflow. With MakerSuite, you’ll be able to iterate on prompts, augment your dataset with synthetic data, and easily tune custom models. When you’re ready to move to code, MakerSuite will let you export your prompt as code in your favorite languages and frameworks, like Python and Node.js.
  • 12
    Yandex Managed Service for YDB
    Serverless computing is ideal for systems with unpredictable loads. Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working...
  • 13
    Superlinked

    Superlinked

    Superlinked

    ... and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.
  • 14
    VectorDB

    VectorDB

    VectorDB

    VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting...
    Starting Price: Free
  • 15
    SplineCloud

    SplineCloud

    SplineCloud

    ... functions. Users can also reuse datasets and relations in their models and calculations by accessing them directly through the SplineCloud API or by utilizing open source client libraries for Python and MATLAB. The platform supports the development of reusable engineering and analytical applications, aiming to reduce redundancy in design processes, preserve expert knowledge, and facilitate better decision-making.
  • 16
    Keboola

    Keboola

    Keboola

    Keboola is a serverless integration Hub for data/people and AI models. We provide a cloud-based data integration platform that is designed to support the entire workflow from data extraction, cleaning, warehousing, enrichment, to ML based predictions and loading. The whole platform is highly collaborative and solves the biggest hurdles of "IT" based solutions. Our seamless one click UI will take even the novice business users from data acquisition to building model in Python in a matter...
    Starting Price: Freemium
  • 17
    Microsoft R Open
    Microsoft continues its commitment and development in R, not only in the latest Machine Learning Server release, but also in the newest Microsoft R Client and Microsoft R Open releases. You can also find R and Python support in SQL Server Machine Learning Services on Windows and Linux, and R support in Azure SQL Database. R components are backwards compatible. You should be able to run existing R script on newer versions, with the exception of dependencies on packages or platforms...
  • 18
    mydataprovider

    mydataprovider

    mydataprovider

    Do you want to develop a python web scraper or maybe a javascript web scraper? Are you looking for a web scraping service? You found! We provide Web scraping service since 2009. We can scrape any website for you. Our core expertise is web scraping and we can scrape any type of site. Max web scraping speed we got is 17000 web requests/minute from 1 server with a 100MB/s network. You can define when to start web scraping tasks: hourly, daily, weekly, etc. It is flexible and any use case...
  • 19
    InterSystems Caché
    ..., document, multi-dimensional. Data can be managed via SQL, Java, node.js, .NET, C++, Python. Caché also provides an application server which hosts web apps (CSP), REST, SOAP, web sockets and other types of TCP access for Caché data.
  • 20
    OpenText Analytics Database (Vertica)
    ... queries efficiently, regardless of data size. OpenText Analytics Database also features compatibility with data lakehouse architectures, supporting formats like Parquet and ORC. With built-in machine learning and broad language support, it empowers users from SQL experts to Python developers to derive predictive insights.
  • 21
    EasyMorph

    EasyMorph

    EasyMorph

    Many people use Excel, or VBA/Python scripts, or SQL queries for data preparation because they are not aware of better alternatives. EasyMorph is a purpose-built application with more than 150 built-in actions for fast and visual data transformation and automation without coding. With EasyMorph, you can walk away from obscure scripts and cumbersome spreadsheets, and bring your productivity to a whole new level. Retrieve data from databases, spreadsheets, emails and email attachments, text files...
    Starting Price: $900 per user per year
  • 22
    CanvasJS Charts

    CanvasJS Charts

    Fenopix Technologies

    JavaScript Charting Library with 10x better performance & a simple API. You can easily integrate our JS Charts with popular Frameworks like React, Angular, Vue, etc. The library comes with 30+ chart types including line, column, bar, area, pie, doughnut, stacked, etc. Graphs support various interactive features like tooltips, zooming, panning, animation, events, drill-down, exporting and can easily be integrated with various server-side technologies like PHP, Ruby, Python, ASP.Net, Node...
  • 23
    MonetDB

    MonetDB

    MonetDB

    Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the Monet...
  • 24
    GeoSpock

    GeoSpock

    GeoSpock

    ... to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.
  • 25
    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
  • 26
    InterSystems IRIS

    InterSystems IRIS

    InterSystems

    ... greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes
  • 27
    Apache Spark

    Apache Spark

    Apache Software Foundation

    Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning...
  • 28
    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...
  • 29
    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.
  • 30
    Altinity

    Altinity

    Altinity

    Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana...