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Showing 1270 open source projects for "so"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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WhisperLive
A nearly-live implementation of OpenAI's Whisper
...It can handle microphone input, pre-recorded audio files, and network streams such as RTSP and HLS, making it flexible for live events, monitoring, or accessibility workflows. Configuration options let you control the number of clients, maximum connection time, and threading behavior so the server can be tuned for different deployment environments. On the client side, you can set the language, whether to translate into English, model size, voice activity detection, and output recording behavior. -
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LangBot
Production-grade platform for building agentic IM bots
...LangBot combines LLM capabilities with agent logic, knowledge base orchestration, and plugin infrastructure so that bots can perform complex tasks rather than simple conversational responses. The platform includes a web-based management interface that simplifies configuration, access control, and integration with external AI services. -
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plexe
Build a machine learning model from a prompt
...You describe what you want—a predictor, a classifier, a forecaster—and the tool plans data ingestion, feature preparation, model training, and evaluation automatically. Under the hood an agent executes the plan step by step, surfacing intermediate results and artifacts so you can inspect or override choices. It aims to be production-minded: models can be exported, versioned, and deployed, with reports to explain performance and limitations. The project supports both a Python library and a managed cloud option, meeting teams wherever they prefer to run workloads. The overall goal is to compress the path from idea to usable model while keeping humans in the loop for review and adjustment. -
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django-helpdesk
A Django application to manage tickets for an internal helpdesk
...As of January 2011 the name has been changed to reflect what it really is: a Django-powered ticket tracker with contributors reaching far beyond Jutda. django-helpdesk includes a basic demo Django project so that you may easily get started with testing or developing django-helpdesk. The demo project resides in the demo/ top-level folder. The demo project uses sqlite as its database. Sqlite does not allow case-insensitive searches and so the search function may not work as effectively as it would on another database such as PostgreSQL or MySQL that does support case-insensitive searches. ... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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edge-tts
Use Microsoft Edge's online text-to-speech service from Python
edge-tts is a Python module and command-line tool that gives you direct access to Microsoft Edge’s online text-to-speech service without needing the Edge browser, Windows, or any API key. It wraps the same cloud voices used by Edge, exposing them through a simple CLI (edge-tts, edge-playback) and a Python API, so you can script high-quality speech generation in your own applications. The tool lets you list available voices, specify locale and voice name, and generate audio files in common formats like MP3 or WAV. It also supports generating subtitle files (such as SRT or VTT) alongside the speech, which is handy for video narration, e-learning, or accessibility workflows. ... -
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Cobbler
Cobbler is a versatile Linux deployment server
...Cobbler helps by automating the process of provisioning servers from bare metal, or when deploying virtual machines onto various hypervisors. Just as configuration management systems rely on templates to simplify updates, so too does Cobbler. -
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Locust
Scalable open source load testing tool
...As it is completely event-based, Locust can have thousands or even millions of simultaneous users distributed over multiple machines swarming your system. Unlike other event-based apps, it doesn’t use callbacks but uses lightweight processes instead, so you can write very expressive scenarios in Python without complicating it with callbacks. -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,... -
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Faker for Python
Python package that generates fake data for you
...Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating your codebase to support Python 3 so you can enjoy the latest features Faker has to offer. Please see the extended docs for more details, especially if you are upgrading from version 2.0.4 and below as there might be breaking changes. This package was also previously called fake-factory which was already deprecated by the end of 2016, and much has changed since then, so please ensure that your project and its dependencies do not depend on the old package. -
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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StackStorm
Connect all your apps, services, and workflows
...It can be used for automated remediation to immediately troubleshoot and fix problems when failures occur; it can be used for continuous deployment; it can create a fast and automated security response and so much more. StackStorm integrates with your existing processes or workflows, so there's no need to change anything. It's currently being used and trusted by a number of big enterprises, including Netflix, Cisco and NASA. -
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Agentex
Open source codebase for Scale Agentex
AgentEX is an open framework from Scale for building, running, and evaluating agentic workflows, with an emphasis on reproducibility and measurable outcomes rather than ad-hoc demos. It treats an “agent” as a composition of a policy (the LLM), tools, memory, and an execution runtime so you can test the whole loop, not just prompting. The repo focuses on structured experiments: standardized tasks, canonical tool interfaces, and logs that make it possible to compare models, prompts, and tool sets fairly. It also includes evaluation harnesses that capture success criteria and partial credit, plus traces you can inspect to understand where reasoning or tool use failed. ... -
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cheat.sh
The only cheat sheet you need
...The repository contains the server and client code, instructions to run a local standalone instance (including Python virtualenv setup), and tooling to fetch or maintain the upstream cheat-sheet data; installation documentation explains disk-space needs and dependency setup for offline use. Cheat.sh is intentionally minimal and scriptable, so it fits naturally into shells, CI scripts, editors, and quick lookups without leaving the terminal, while also offering ways to extend or host personal cheat sheets. -
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H4X-Tools
A modular, terminal-based toolkit for OSINT, reconnaissance
...Its tools cover areas such as Instagram profile research, web reconnaissance, phone lookup, IP lookup, username search, email search, leak intelligence, port scanning, WHOIS lookup, web scraping, directory discovery, Bluetooth scanning, and local user enumeration. The toolkit is designed to be extensible, so contributors can add new tools by creating modules that follow its BaseTool structure. It is intended for educational and authorized security research only, not for use against systems or accounts without permission. -
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Pants Build System
The Pants Build System
...Pants requires very minimal BUILD file metadata/boilerplate. It uses a combination of static analysis and sensible defaults to infer most of that information on the fly. So your BUILD files can be very minimal — and even those can be generated and updated for you. Pants has out-of-the-box support for multiple dependency resolves and their corresponding lockfiles, so you can have hermetic, repeatable builds that are resilient to supply chain attacks, even in complex situations where you have multiple versions of the same dependencies in different parts of the codebase. -
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AirLLM
AirLLM 70B inference with single 4GB GPU
...This layer-wise inference approach allows models with tens of billions of parameters to run on devices with only a few gigabytes of VRAM. AirLLM preprocesses model weights so that each transformer layer can be loaded independently during computation, reducing the memory footprint while still performing full inference. As a result, developers can experiment with models that previously required specialized high-end GPUs. -
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OpenVoice
Instant voice cloning by MIT and MyShell. Audio foundation model
...It is designed not only to match the timbre of the reference voice, but also to give granular control over style parameters such as emotion, accent, rhythm, pauses, and intonation. The model supports cross-lingual and even zero-shot cross-lingual voice cloning, so a speaker recorded in one language can be made to speak naturally in others. Architecturally, OpenVoice separates “tone color” cloning from style control, which makes it easier to keep a consistent identity while flexibly changing prosody or language. The project provides open-weight models, inference code, and examples, making it suitable both for research and for building production voice experiences. ... -
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features,... -
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Django OAuth Toolkit
OAuth2 goodies for the Djangonauts!
...Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. Your Django app exposes a web API you want to protect with OAuth2 authentication. You need to implement an OAuth2 authorization server to provide tokens management for your infrastructure. -
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Unredact
A simple tool for reading in poorly redacted documents
...Unlike traditional optical character recognition (OCR), which only reads visible text, Unredact focuses on inferring missing content where redaction has been applied by analyzing surrounding context, font characteristics, and linguistic patterns to produce candidate reconstructions. It accepts a variety of input formats, automatically identifies redacted regions, and then generates text suggestions that are presented alongside visual overlays so users can choose or refine outputs. -
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Paperless-ngx
A community-supported supercharged version of paperless
Paperless-ngx is a community-supported open-source document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper. -
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OSRFramework
OSRFramework, the Open Sources Research Framework is a AGPLv3+ project
...At the same time, by means of ad-hoc Maltego transforms, OSRFramework provides a way of making these queries graphically as well as several interfaces to interact with like OSRFConsole or a Web interface. If everything went correctly (we hope so!), it's time for trying usufy., mailfy and so on. But where are they locally? They are installed in your path meaning that you can open a terminal anywhere and typing the name of the program (seems to be an improvement from previous installations). Generates candidate nicknames based on known info about the target. -
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Sanic
Async Python 3.6+ web server/framework
...It provides a way to get a highly performant HTTP server up and running fast, while also making it easy to build, expand, and eventually scale. Sanic aspires to be as simple as possible while delivering the performance that you require. It allows the usage of the async/await syntax added in Python 3.5, so your code is guaranteed to be non-blocking and speedy. It's also ASGI compliant, so it's possible to deploy with an alternative ASGI webserver. -
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SurfSense
Connect any LLM to your internal knowledge sources
SurfSense is an open-source AI research and knowledge assistant platform that connects any large language model to internal knowledge sources so teams and individuals can explore, query, and collaborate on insights in real time. Built as an alternative to proprietary tools like NotebookLM, Perplexity, and Glean, SurfSense allows integrations with a wide range of external data sources including Slack, Notion, Google Drive, GitHub, YouTube, and many enterprise systems, making it possible to interact with documents, chat logs, and structured data using natural language. ... -
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Robin
AI-powered tool for dark web OSINT search and investigation
...By integrating AI models, the platform can interpret results, highlight key information, and produce summaries that help analysts understand findings faster. The project provides a modular architecture separating search, scraping, and AI processing components so it can be extended with new data sources. -
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Paper2Slides
From Paper to Presentation in One Click
...It is designed to replace the repetitive work of turning dense technical documents into presentation-friendly structure by extracting key points, figures, and data into a coherent visual narrative. The system supports multiple input formats, so you can process PDFs and common office documents rather than being locked to a single file type. It uses an extraction approach intended to capture critical insights comprehensively, including important visuals and data points that often get missed in naive summarization. A major focus is traceability: generated slide content is designed to remain linked back to the source material so you can verify accuracy and reduce information drift. ...