Showing 2179 open source projects for "api"

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  • 1
    SQL Explorer

    SQL Explorer

    Easily share data across your company via SQL queries

    ...Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple connections, to many different SQL database types, a schema explorer, query history (e.g. lightweight version control), a basic security model, in-browser pivot tables, and more. SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. ...
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  • 2
    Django OAuth Toolkit

    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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  • 3
    Healthchecks

    Healthchecks

    A cron monitoring tool written in Python & Django

    ...It listens for HTTP requests and email messages ("pings") from your cron jobs and scheduled tasks ("checks"). When a ping does not arrive on time, Healthchecks sends out alerts. Healthchecks comes with a web dashboard, API, 25+ integrations for delivering notifications, monthly email reports, WebAuthn 2FA support, and team management features: projects, team members, and read-only access. On Healthchecks.io, generate a unique ping URL for your background job. When your job does not ping Healthchecks.io on time, Healthchecks.io alerts you! Update your job to send an HTTP request to the ping URL every time the job runs. ...
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  • 4
    Wagtail

    Wagtail

    A Django content management system focused on flexibility & UX

    Wagtail is a powerful, open source content management system that’s focused on flexibility and user experience. Built on Django, Wagtail offers precise control and flexibility for designers, developers and editors. Designed by developers for developers, Wagtail plays nicely with everything else in your tech stack so you can do more and focus on perfecting your site. Designers will find Wagtail’s simple templating system ideal for building beautiful websites just the way they want, without...
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    99.99% Uptime for MySQL and PostgreSQL Databases

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  • 5
    SuggestArr

    SuggestArr

    Request recommended movies, TV shows and anime to Jellyseer/Overseer

    SuggestArr is an open-source automation platform designed to recommend and automatically request movies, TV shows, and anime based on a user’s viewing history in self-hosted media servers. The project integrates with popular media management systems such as Jellyfin, Plex, and Emby, allowing it to analyze recently watched content and identify similar titles using metadata from the TMDb database. Once potential recommendations are identified, SuggestArr can automatically send download or...
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  • 6
    Step1X-Edit

    Step1X-Edit

    A SOTA open-source image editing model

    Step1X-Edit is a state-of-the-art open-source image editing model/framework that uses a multimodal large language model (LLM) together with a diffusion-based image decoder to let users edit images simply via natural-language instructions plus a reference image. You supply an existing image and a textual command — e.g. “add a ruby pendant on the girl’s neck” or “make the background a sunset over mountains” — and the model interprets the instruction, computes a latent embedding combining the...
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  • 7
    MLX-Audio

    MLX-Audio

    A text-to-speech, speech-to-text and speech-to-speech library

    ...Because it uses MLX and targets Apple Silicon, inference is fast and can take advantage of hardware acceleration and quantization for efficient on-device performance. The project provides a straightforward CLI (mlx_audio.tts.generate) as well as a Python API for programmatic generation of audio, including parameters for voice choice, speed, language hints, output format, and sample rate. It includes examples such as audiobook generation to demonstrate long-form synthesis and joined audio segments. On top of that, MLX-Audio offers a modern web interface powered by FastAPI, with real-time waveform and 3D visualizations, file upload, and audio management.
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  • 8
    FairChem

    FairChem

    FAIR Chemistry's library of machine learning methods for chemistry

    FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. Tasks span heterogeneous domains—catalysis (OC20-style), inorganic materials (OMat), molecules (OMol), MOFs (ODAC), and molecular crystals (OMC)—allowing one model family to serve many simulations. ...
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  • 9
    VisualGLM-6B

    VisualGLM-6B

    Chinese and English multimodal conversational language model

    VisualGLM-6B is an open-source multimodal conversational language model developed by ZhipuAI that supports both images and text in Chinese and English. It builds on the ChatGLM-6B backbone, with 6.2 billion language parameters, and incorporates a BLIP2-Qformer visual module to connect vision and language. In total, the model has 7.8 billion parameters. Trained on a large bilingual dataset — including 30 million high-quality Chinese image-text pairs from CogView and 300 million English pairs...
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  • 10
    Optopsy

    Optopsy

    A nimble options backtesting library for Python

    ...There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. Here we also use Panda's round() function afterwards to return statistics within two decimal places.
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  • 11
    LLMStack

    LLMStack

    No-code multi-agent framework to build LLM Agents, workflows

    LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes. Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise.
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  • 12
    BlenderProc

    BlenderProc

    Blender pipeline for photorealistic training image generation

    A procedural Blender pipeline for photorealistic training image generation. BlenderProc has to be run inside the blender python environment, as only there we can access the blender API. Therefore, instead of running your script with the usual python interpreter, the command line interface of BlenderProc has to be used. In general, one run of your script first loads or constructs a 3D scene, then sets some camera poses inside this scene and renders different types of images (RGB, distance, semantic segmentation, etc.) for each of those camera poses. ...
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  • 13
    FLAML

    FLAML

    A fast library for AutoML and tuning

    FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their...
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  • 14
    DeepPavlov

    DeepPavlov

    A library for deep learning end-to-end dialog systems and chatbots

    ...Use BERT and other state-of-the-art deep learning models to solve classification, NER, Q&A and other NLP tasks. DeepPavlov Agent allows building industrial solutions with multi-skill integration via API services.
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  • 15
    Sentry

    Sentry

    Cross-platform application monitoring and error tracking software

    ...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. It also provides real-time monitoring and data visualization through dashboards. Sentry’s server is in Python, but its API enables for sending events from any language, in any application. More than fifty-thousand companies already ship better software faster thanks to Sentry; let yours be one of them!
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  • 16
    Agent Payments Protocol (AP2)

    Agent Payments Protocol (AP2)

    Building a Secure and Interoperable Future for AI-Driven Payments

    AP2 is a project released by Google’s “Agentic Commerce” initiative, focusing on a protocol and reference implementation for agent-driven or AI-mediated payments. In effect, AP2 aims to define a secure, interoperable protocol that allows software agents to act on behalf of users—making payments or shopping decisions autonomously—while preserving necessary security, auditability, and trust. The repository contains sample scenarios (in Python, Android, etc.) that illustrate how agents,...
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  • 17
    leafmap

    leafmap

    A Python package for interactive mapping and geospatial analysis

    A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It...
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  • 18
    Google Photos Sync

    Google Photos Sync

    Google Photos and Albums backup with Google Photos Library API

    ...This software is read only and never modifies your cloud library in any way, so there is no risk of damaging your data. There are a number of long standing issues with the Google Photos API that mean it is not possible to make a true backup of your media.
    Downloads: 2 This Week
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  • 19
    CRAB

    CRAB

    CRAB: Cross-environment Agent Benchmark for Multimodal Language Model

    CRAB (Composable and Reusable Autonomous Bots) is a framework for building modular, reusable AI agents that can perform complex tasks in various domains. It focuses on creating AI-driven workflows that can be composed of multiple autonomous agents working together.
    Downloads: 0 This Week
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  • 20
    gitGraber

    gitGraber

    Real-time GitHub monitor that detects leaked API keys and secrets

    gitGraber is a Python-based security tool designed to monitor GitHub in real time to detect exposed sensitive information in publicly indexed repositories. It scans recently indexed files on GitHub and searches for patterns that may indicate leaked credentials, API keys, or other confidential data used by popular online services. Instead of analyzing the full history of repositories, the tool focuses on newly indexed content, allowing security researchers and bug bounty hunters to quickly identify fresh leaks as they appear. gitGraber uses carefully crafted regular expressions to detect tokens and secrets associated with platforms such as AWS, Google, PayPal, Twitter, Stripe, and many others. ...
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  • 21
    py-pdf-parser

    py-pdf-parser

    A Python tool to help extracting information from structured PDFs

    py-pdf-parser is a Python tool designed to help extract information from structured PDFs. It provides a simple interface to define parsing rules and extract data from PDF documents. ​
    Downloads: 1 This Week
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  • 22
    Firebird

    Firebird

    A powerful, cross platform, SQL database system

    Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language. More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues
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    Downloads: 3,300 This Week
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  • 23
    Kor

    Kor

    LLM

    This is a half-baked prototype that “helps” you extract structured data from text using LLMs. Specify the schema of what should be extracted and provide some examples. Kor will generate a prompt, send it to the specified LLM and parse out the output. You might even get results back.
    Downloads: 0 This Week
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  • 24
    Toloka-Kit

    Toloka-Kit

    Toloka-Kit is a Python library for working with Toloka API

    Toloka-Kit is a Python library for working with Toloka API. The API allows you to build scalable and fully automated human-in-the-loop ML pipelines, and integrate them into your processes. The toolkit makes integration easier. You can use it with Jupyter Notebooks. Support for all common Toloka use cases: creating projects, adding pools, uploading tasks, and so on. Toloka entities are represented as Python classes.
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  • 25
    AWX

    AWX

    A web-based user interface built on top of Ansible

    ...Uses naming and structure consistent with the AWX HTTP API. Provides consistent output formats with optional machine-parsable formats. 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.
    Downloads: 1 This Week
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