Search Results for "teams" - Page 2
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Showing 48 open source projects for "teams"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AG-UI
The Agent-User Interaction Protocol
...This makes it easier for developers to build agent-powered apps that stream progress, request human input, update UI state, and coordinate complex workflows. The project is especially useful for teams building copilots, workflow assistants, multi-agent products, or custom AI interfaces. Overall, AG-UI provides a shared communication layer between autonomous systems and the interfaces where people actually use them. -
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Kedro
A Python framework for creating reproducible, maintainable code
...In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems together. Makes a seamless transition from development to production, as you can write quick, throw-away exploratory code and transition to maintainable, easy-to-share, code experiments quickly. Puts the "engineering" back into data science because it borrows concepts from software engineering and applies them to machine-learning code. ... -
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes... -
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Sentry
Cross-platform application monitoring and error tracking software
Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. ... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Tunix
A JAX-native LLM Post-Training Library
...The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives. -
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BackAnt CLI
Let your AI agent create clean, easy to maintain flask backends
...The tool creates a structured backend architecture that includes routes, services, repositories, models, startup files, Docker Compose configurations, and CI/CD workflows, which makes it especially useful for teams that want consistency across projects. It can scaffold an entire API or extend an existing project by generating a single route or sub-route, so it supports both greenfield development and iterative expansion. BackAnt CLI is also designed to work with coding agents through an MCP server, which allows compatible AI development tools to generate and modify backend code directly from chat-driven workflows. -
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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees... -
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
...When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. Because metric definitions live centrally, you avoid duplication across teams and tools, reduce risk of inconsistent numbers, and make it easier to audit and evolve the logic over time. The project emphasizes explainability, performance and portability: you define metrics once and then they can be consumed in BI tools, notebooks, or even AI/agent-driven workflows. -
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AWX
A web-based user interface built on top of Ansible
...To the extent possible, auto-detects API versions, available endpoints, and feature support across multiple versions of AWX. Potential uses include configuring and launching jobs/playbooks, checking on the status and output of job runs, and managing objects like organizations, users, teams, etc. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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bidict
The bidirectional mapping library for Python
Depended on by Google, Venmo, CERN, Baidu, Tencent, and teams across the world since 2009. Familiar, Pythonic APIs that are carefully designed for safety, simplicity, flexibility, and ergonomics. Lightweight, with no runtime dependencies outside Python's standard library. Implemented in concise, well-factored, fully type-hinted Python code that is optimized for running efficiently as well as for long-term maintenance and stability. -
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Neomake
Asynchronous linting and make framework for Neovim/Vim
...Because it uses job control and timers, it scales well on large codebases and keeps the editor responsive. It’s useful both as a general “make” front end and as a diagnostic engine for code quality. Async execution of linters, compilers, and test commands via “makers”. Teams often adopt it to standardize checks across languages while keeping developers inside Vim. -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals,... -
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FairScale
PyTorch extensions for high performance and large scale training
...The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. FairScale puts emphasis on correctness and debuggability, offering hook points, logging, and reference examples for common trainer patterns. Although many ideas have since landed in core PyTorch, FairScale remains a valuable reference and a practical toolbox for squeezing more performance out of multi-GPU and multi-node jobs. -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. ... -
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Big List of Naughty Strings
List of strings which have a high probability of causing issues
...It exists so developers and QA engineers can easily test edge cases that normal test data would miss, such as zero-width characters, right-to-left marks, emojis, foreign alphabets, and long or malformed strings. By throwing these strings at forms, APIs, databases, and UIs, teams can discover encoding bugs, sanitizer gaps, rendering issues, and security oversights early. The list is language-agnostic and repository-friendly, meaning you can consume it from CI pipelines or local scripts with minimal setup. Because it’s crowdsourced, it reflects real issues practitioners have faced in production, not just theoretical cases. ... -
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Brand new cheatsheets and handouts
Matplotlib 3.1 cheat sheet
The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet”... -
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Pootle Django
Online translation tool
...Integrates user suggestions, terminology, Translation Memory, Machine Translation, and more. A number of translation projects for a number of languages can be hosted on Pootle. Teams can manage their files, permissions, projects, and translate on-line. Files can be downloaded for offline translation. Delegate to your translators and allow them to commit directly to your version control systems. Pootle can easily be adapted and integrated into your existing web look and feel. -
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NoOra is a database deployment tool which can be used to automate the database deployment cycle and is designed for agile and or devops teams. The supported database platforms are Oracle and Mysql. The support for Postgresql is work in progress. Feedback is more then welcome.
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Py-backwards
Python to python compiler that allows you to use Python 3.6 features
...For example, if you want to use f-strings, type annotations, or other Python 3.x niceties but have to deploy on a machine that only has an older interpreter, py-backwards rewrites your code to an equivalent, earlier syntax. It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and emitting compatible code. This allows teams to write forward-looking Python without immediately upgrading all their runtime environments. The project is particularly handy for packaging, CI, or on-prem situations where upgrading Python is slow or impossible. It aims to preserve behavior, keep the diff small, and support multiple modern features as they appear. -
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Django-bower
Easy way to use bower with your django project
...It then provides Django settings and template tags to point STATICFILES_DIRS or STATIC_ROOT to those installed components. This keeps the back-end and front-end dependency story unified, versioned, and repeatable across environments. It’s especially useful for teams that used Bower-era front-end stacks and wanted to keep Django projects tidy and deployable. The app focuses on being predictable, configurable, and compatible with Django’s staticfiles pipeline. -
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Pyringe
Debugger capable of attaching to and injecting code into python
...It’s also useful for forensic snapshots: enumerate objects of a certain type, find reference cycles, or measure memory pressure without pre-instrumentation. While powerful, it’s designed for careful, auditable use—showing exactly what code runs and where—so teams can regain visibility when black-box processes go sideways. -
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nacho
Python micro web-framework and asynchronous networking library
...Developers can customise templates used for generation or plug custom patterns, which makes the tool suitable across small utilities or large service fleets. Because it encourages consistency among services, teams can spin up new microservices with a shared structure and skip repetitive setup. Though the repository may be less active than some major frameworks, it serves as a valuable jump-start for projects where speed and uniformity matter. -
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ClearVersion is web based tool which allows the effective collaboration of development teams for projects hosted in SubVersion. The Web interface supports the development lifecycle that is required in some processes, such as ISO9000 and TL9000.