Open Source Go Software Development Software

Inspired by MailCatcher, easier to install. Built with Go, MailHog runs without installation on multiple platforms. Run it from Docker Hub or using the provided Dockerfile. The SMTP server starts on port 1025, the HTTP server starts on port 8025, in-memory message storage. ESMTP server implementing RFC5321. Support for SMTP AUTH (RFC4954) and PIPELINING (RFC2920). Web interface to view messages (plain text, HTML or source). Supports RFC2047 encoded headers. Real-time updates using EventSource. Release messages to real SMTP servers. Chaos Monkey for failure testing. HTTP API to list, retrieve and delete messages. See APIv1 and APIv2 documentation for more information. HTTP basic authentication for MailHog UI and API. Multipart MIME support. Download individual MIME parts. In-memory message storage. MongoDB and file based storage for message persistence. Lightweight and portable. No installation required.

Centrifugo is language-agnostic. It's a standalone server with a simple API that integrates well with an application written in any programming language. No need to change an existing application architecture to introduce real-time features. Just add Centrifugo nearby and let it deal with persistent connections. Centrifugo is built in Go language with some smart optimizations inside. It has good performance – see a description of a test stand with one million WebSocket connections and 30 million delivered messages per minute with hardware comparable to one modern server machine. Many built-in features can help to build an attractive real-time application in a limited time. Centrifugo provides different types of subscriptions, hot channel history, instant presence, RPC calls. There is also the possibility to proxy WebSocket events to the application backend over HTTP or GRPC and more.

With flexible deployments models using clusters, superclusters, and leaf nodes, optimize communications for your unique deployment. The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in a deployment and NATS will do the right thing. With the ability to process millions of messages a second per server, you’ll find unparalleled efficiency with NATS. Save money by minimizing cloud costs with reduced compute and network usage for streams, services, and eventing. NATS self-heals and can scale up, down, or handle topology changes anytime with zero downtime to your system. Clients require zero awareness of NATS topology allowing you future proof your system to meet your needs of today and tomorrow.

DiscordGo is a Go package that provides low level bindings to the Discord chat client API. DiscordGo has nearly complete support for all of the Discord API endpoints, websocket interface, and voice interface. If you would like to help the DiscordGo package please use this link to add the official DiscordGo test bot dgo to your server. This provides indispensable help to this project. Construct a new Discord client which can be used to access the variety of Discord API functions and to set callback functions for Discord events. The DiscordGo code is fairly well documented at this point and is currently the only documentation available. Go reference (below) presents that information in a nice format. This library and the Discord API are unfinished. Because of that there may be major changes to library in the future.

Keybase is secure messaging and file-sharing. We use public key cryptography to ensure your messages stay private. Even we can’t read your chats. Keybase works for families, roommates, clubs, and groups of friends, too. Keybase connects to public identities, too. You can connect with communities from Twitter, Reddit, and elsewhere. Don’t live dangerously when it comes to documents. Keybase can store your group’s photos, videos, and documents with end-to-end encryption. You can set a timer on your most sensitive messages. This distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software.

Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, SageMaker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a few clicks from SageMaker Studio or the SageMaker console. Training and hosting are billed by minutes of usage, with no minimum fees and no upfront commitments.

PingMe is a personal project to satisfy my need to have alerts, most major platforms have integration to send alerts but it's not always useful, either you are stuck with one particular platform, or you have to do a lot of integrations. I needed a small utility that I could just call from my backup scripts, cron jobs, CI/CD pipelines, or from anywhere to send a message with particular information. And I can ship it everywhere with ease. Hence, the birth of PingMe. Everything is configurable via environment variables, and you can simply export the logs or messages to a variable that will be sent as a message, most of all this serves as a swiss army knife sort of tool that supports multiple platforms.

jackal is a free, open-source, high-performance XMPP server that aims to be known for its stability, simple configuration and low resource consumption. Customizable, enforced SSL/TLS. Stream compression (zlib), database connectivity for storing offline messages and user settings (PostgreSQL 9.5+, BoltDB). Caching (Redis 6.2+), clustering capabilities (etcd 3.4+) Expose Prometheus metrics, cross-platform (OS X, Linux). To make it easy to install jackal via Helm in Kubernetes a chart has been included into this repository. After completing database setup and starting jackal service you'll have to register a new user to be able to login. To do so, you can use jackal command-line tool to create a new user proving name and password.

Command line peer-to-peer data transfer tool based on libp2p. There already exists a long list of file transfer tools, so why bother building another one? The problem I had with the existing tools is that they rely on a limited set of servers to orchestrate peer matching and data relaying which poses a centralization concern. Many of the usual centralization vs. decentralization arguments apply here, e.g. the servers are single points of failure, the service operator has the power over whom to serve and whom not, etc. Further, as this recent issue in croc shows, this is a real risk for the sustainable operation of the provided service.