Search Results for "api documentation" - Page 5
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Showing 175 open source projects for "api documentation"
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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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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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RealtimeTTS
Converts text to speech in realtime
RealtimeTTS is a low-latency text-to-speech library built for real-time applications such as voice chat with LLMs, assistants, and interactive tools. It is designed around a streaming model: you can feed it text incrementally (for example, as an LLM responds) and get audio output almost immediately, which keeps end-to-end latency very low. The library is engine-agnostic and plugs into a wide range of cloud and local TTS systems, including OpenAI, ElevenLabs, Azure, Coqui, Piper, StyleTTS2,... -
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Yandex Music API
Non-official Python library for works with API service Index
This library provides Python interface for anyone undocumented and self-made API Yandex Music. It is compatible with Python 3.7 + and supports working with both synchronous and asyncio code. In addition to implementing a clean API, this library has a number of — high-level wrapping classes in order to make the development of customers and scripts simple and understandable. All documentation was written from scratch based on logical analysis during reverse development (reverse engineering) API. -
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PyKCS11: a complete PKCS#11 wrapper for Python, created using the SWIG compiler. API documentation: http://pkcs11wrap.sourceforge.net/api/
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Code_TYMPAN
Open source software calculating industrial noise in the environment
...Code_TYMPAN™ allows developing your own calculation method from basic components and geometrical solvers. It includes a solver based on ISO 9613 extended to industrial applications. In 4.2.x version, a Python API allows advanced users to build and solve models programmatically. By this mean, developers have the capability of building new tools with acoustic features with high productivity. Find useful resources in External Link : - Source Code, - User Documentation, - Developer Documentation, - DefaultSolver Note, - 9613Solver Note. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Auto-CS
Automatic annotation of Cued Speech
...It is integrated through the **spin-off** mechanism provided by SPPAS, which allows external code bases to remain separate while still being dynamically discovered and used by the main framework. See <https://auto-cuedspeech.org> for details about the related Research Project. See SPPAS website: <https://sppas.org> Auto-CS API documentation: <https://brigitte-bigi.github.io/auto-cs/> -
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A multimedia authoring and processing framework and a video playout server for television broadcasting.
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CodinIT.dev
Free, local, open-source AI app builder
CodinIT.dev is a free, local, open source AI app builder that lets you go from idea to full-stack application entirely on your machine, no coding required, just chat with AI. You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5,... -
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Zylthra
Zylthra: A PyQt6 app to generate synthetic datasets with DataLLM.
Welcome to Zylthra, a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool allows users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface. -
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MMAction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
...Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, Spatio-temporal action detection, and skeleton-based action detection. We support 27 different algorithms and 20 different datasets for the four major tasks. We provide detailed documentation and API reference, as well as unit tests. We support Multigrid on Kinetics400, achieve 76.07% Top-1 accuracy and accelerate training speed. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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ChatGPT API
Reverse engineered ChatGPT API
...It focuses on enabling chatbot-like workflows by wrapping the underlying web-based behavior into a developer-friendly library and tooling, making it easier to integrate into scripts, bots, and experiments. The repository is structured like an open-source client project, including installation guidance, documentation, and contribution processes, and it emphasizes extensibility for different use cases. Because it is not an official product, it is best understood as an experimental bridge that tried to translate web interactions into a reusable API surface. Projects like this often prioritize rapid iteration and practicality, while requiring users to be mindful of stability and changes in upstream services. -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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Edge GPT
Reverse engineered API of Microsoft's Bing Chat
EdgeGPT is a reverse-engineered client project that exposed a programmatic interface to Microsoft’s Bing Chat experience (often associated with “Edge” due to access patterns and requirements at the time). It was built to let developers run prompts and retrieve responses through scripts and applications, effectively turning the chat experience into something that could be automated and integrated into tools. The repository gained popularity because it provided a practical way to experiment... -
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doccano client
A simple client for doccano API
doccano-client is a simple client wrapper for the doccano API. We're introducing a newly revamped Doccano API Client that features more Pythonic interaction as well as more testing and documentation. It also adds more regulated compatibility with specific Doccano release versions. -
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Prime QA
State-of-the-art Multilingual Question Answering research
PrimeQA is a public open source repository that enables researchers and developers to train state-of-the-art models for question answering (QA). By using PrimeQA, a researcher can replicate the experiments outlined in a paper published in the latest NLP conference while also enjoying the capability to download pre-trained models (from an online repository) and run them on their own custom data. PrimeQA is built on top of the Transformers toolkit and uses datasets and models that are directly... -
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TF2DeepFloorplan
TF2 Deep FloorPlan Recognition using a Multi-task Network
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python. -
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Paddle Quantum
Paddle Quantum
...It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing (QC). It has been utilized for developing several quantum machine learning applications. With the PaddlePaddle deep learning platform empowering QC, Paddle Quantum provides strong support for the scientific research community and developers in the field to easily develop QML applications. ... -
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Scrapyd
A service daemon to run Scrapy spiders
Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an... -
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Python script to get the last 5 minutes of accepted traffic logs via the trendmicro email security API and send them to a syslog server Script Python para obtener los ultimos 5 minutos de logs de trafico aceptado por medio de la API de trendmicro email security y enviarlos a un servidor de syslog Crontab */5 * * * * /usr/local/bin/python3.9 /home/user/tmes-syslog_0.02.py 2>&1 > /home/user/errores.txt ------------ # API documentation # Getting Started with Trend Micro Email Security APIs # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/getting-started-with.aspx # Obtaining the API Key # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/getting-started-with/obtaining-the-api-ke.aspx # List Mail Tracking Logs # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/supported-apis/logs/list-mail-tracking-l.aspx
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Kanbanara
Web-based Project Management System using the Kanban methodology
Kanbanara, a web-based Project Management System, uses the Kanban methodology. Started in 2013, the product is already quite well advanced. It is written in Python 3.7+ and utilizes MongoDB and CherryPy. Its Kanban board features projects, user-definable workflow with custom states, support for epic, feature, story, enhancement, defect, task, test, bug and transient cards, global and personal WIP limits, role-based columns (Owner, Reviewer or Quality Assurance), support for ghost cards... -
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ImageAI
A python library built to empower developers
...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, students, research groups and businesses. ImageAI provides API to recognize 1000 different objects in a picture using pre-trained models that were trained on the ImageNet-1000 dataset. The model implementations provided are SqueezeNet, ResNet, InceptionV3 and DenseNet. ... -
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gjots2
hierarchical note jotter - organise your ideas, notes, facts in a tree
2023/04/04: MIGRATED TO https://gitlab.com/wef/gjots2 gjots2 is a fairly simple jotter (outline processor) application for your desktop. See http://bhepple.freeshell.org/gjots -
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Karate Club
An API Oriented Open-source Python Framework for Unsupervised Learning
Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science... -
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django-telegram-bot
My sexy Django + python-telegram-bot + Celery + Redis + Postgres
Sexy Django + python-telegram-bot + Celery + Redis + Postgres + Dokku + GitHub Actions template. Production-ready Telegram bot with database, admin panel and a bunch of useful built-in methods. -
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Plyer
Platform-independent Python wrapper for platform-dependent APIs
Plyer is a platform-independent Python API for accessing hardware features of various platforms (Android, iOS, macOS, Linux, and Windows). -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow.
