Search Results for "production tracking"
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Showing 824 open source projects for "production tracking"
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WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. -
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Sentry PHP
The official PHP SDK for Sentry (sentry.io)
Sentry for PHP is a powerful error tracking library that helps developers identify, capture, and debug application issues in real time. It integrates seamlessly with PHP applications and frameworks like Laravel and Symfony, making it a go-to tool for production error monitoring. -
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Lunary
The production toolkit for LLMs. Observability, prompt management
Lunary helps developers of LLM Chatbots develop and improve them. -
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OpenLIT
OpenLIT is an open-source LLM Observability tool
OpenLIT is an OpenTelemetry-native tool designed to help developers gain insights into the performance of their LLM applications in production. It automatically collects LLM input and output metadata and monitors GPU performance for self-hosted LLMs. OpenLIT makes integrating observability into GenAI projects effortless with just a single line of code. Whether you're working with popular LLM providers such as OpenAI and HuggingFace, or leveraging vector databases like ChromaDB, OpenLIT... -
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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One API
The LLM API management & distribution system
...The system supports multiple backends, enabling users to switch between providers or balance usage based on cost, performance, or availability. It includes features such as authentication, rate limiting, and usage tracking, making it suitable for production environments. One API also provides a web-based dashboard for managing keys, monitoring usage, and configuring routing rules. Its architecture is designed for scalability, allowing teams to deploy it as a centralized layer in their AI infrastructure. By abstracting the complexity of working with multiple APIs, it simplifies development and reduces vendor lock-in. -
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Tokenizers
Fast State-of-the-Art Tokenizers optimized for Research and Production
...Easy to use, but also extremely versatile. Designed for both research and production. Full alignment tracking. Even with destructive normalization, it’s always possible to get the part of the original sentence that corresponds to any token. Does all the pre-processing: Truncation, Padding, add the special tokens your model needs. -
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AliceVision
3D Computer Vision Framework
...It provides a complete pipeline for structure-from-motion (SfM), multi-view stereo (MVS), and mesh generation, allowing users to convert 2D imagery into accurate 3D models. The framework is built with a strong emphasis on research-grade algorithms while maintaining the robustness required for production environments, making it suitable for industries such as visual effects, cultural heritage preservation, and robotics. AliceVision is modular, enabling developers to use individual components or customize the pipeline for specific workflows, including panorama stitching and camera tracking. It integrates with tools like Meshroom, which offers a graphical interface to simplify complex reconstruction processes for non-technical users. -
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Official Sentry SDK
The official Sentry SDK for iOS, tvOS, macOS, watchOS
Sentry Cocoa is the official SDK for integrating Sentry’s real-time error tracking and performance monitoring into iOS, macOS, tvOS, and watchOS applications. It helps developers monitor crashes, performance bottlenecks, and user impact in production. -
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EF Core
Object-database mapper for .NET
EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations. Entity Framework Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations. EF Core works with many databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. To install EF Core, you install the package for the EF Core database provider(s) you want to target. ... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Kodus
AI code reviews, just like your senior dev would do
Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move... -
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Apollo Client
A fully-featured, production ready caching GraphQL client
Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. Use it to fetch, cache, and modify application data, all while automatically updating your UI. Apollo Client helps you structure code in an economical, predictable, and declarative way that's consistent with modern development practices. The core Apollo Client library provides built-in integration with React, and the larger Apollo community maintains... -
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Dify-Plus
Dify-Plus is an enterprise-grade enhanced version of Dify
Dify-Plus is an enterprise-enhanced extension of the Dify platform that adds advanced management, governance, and operational capabilities for deploying AI applications in production environments. It builds on top of Dify’s core functionality, which includes agent workflows, RAG pipelines, and model orchestration, by introducing a dedicated administrative backend powered by gin-vue-admin. The platform is designed to address real-world enterprise challenges such as user management, usage tracking, cost control, and secure access to AI services. ... -
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TFX
TFX is an end-to-end platform for deploying production ML pipelines
...This metadata backend enables advanced functionality like experiment tracking or warm starting/resuming ML models from previous runs. -
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Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved code, hyperparameters, launch commands, input data, and resulting model weights. ... -
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River SQL
Fast and reliable background jobs in Go
River is a durable background job system for Ruby on Rails, designed for reliability, observability, and simplicity. It provides persistent queues, native Active Job support, automatic retries, and real-time job monitoring through its admin interface. River focuses on clear diagnostics, performance, and minimal configuration, making it ideal for production-ready job handling in Rails apps. -
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BricksLLM
Enterprise-grade API gateway that helps you monitor and impose cost
BricksLLM is an open-source framework for building and managing production-ready LLM (Large Language Model) applications. It provides tooling for prompt engineering, memory management, observability, and chaining, all in one unified developer experience. BricksLLM is designed to reduce boilerplate and increase the maintainability of LLM-based workflows. -
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Bubble Lab
Open source workflow automation platform built for developers
...Execution tracing, cost tracking, observability dashboards, and logs give engineers full visibility into performance, errors, and dependencies so debugging and optimization are straightforward. -
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MLOps Zoomcamp
Free MLOps course from DataTalks.Club
MLOps Zoomcamp is an open-source educational repository that contains the materials for a free course focused on machine learning operations and production machine learning systems. The course is designed to teach data scientists and engineers how to move machine learning models from experimentation environments into scalable production services. The repository provides lessons, code examples, and assignments that cover the entire MLOps lifecycle, including model training, experiment tracking, deployment, monitoring, and infrastructure management. ... -
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MLRun
Machine Learning automation and tracking
MLRun is an open MLOps framework for quickly building and managing continuous ML and generative AI applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications, significantly reducing engineering efforts, time to production, and computation resources. MLRun breaks the silos between data, ML, software, and DevOps/MLOps teams, enabling collaboration and fast continuous... -
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Eko
Build Production-ready Agentic Workflow with Natural Language
Eko (Eko Keeps Operating) is a JavaScript framework designed for building production-ready agent-based workflows using natural language commands. It allows developers to create automated agents that can handle complex workflows in both computer and browser environments. With a focus on high development efficiency, Eko simplifies the creation of multi-step workflows, enabling users to integrate and automate tasks across platforms. It provides a unified interface for managing agents, offering... -
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML
Made-With-ML is an open-source educational repository and course designed to teach developers how to build production-grade machine learning systems using modern MLOps practices. The project focuses on bridging the gap between experimental machine learning notebooks and real-world software systems that can be deployed, monitored, and maintained at scale. It provides structured lessons and practical code examples that demonstrate how to design machine learning workflows, manage datasets,... -
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FIT Framework
An enterprise-level AI development framework
FIT Framework is an open-source infrastructure designed to support the development, training, and evaluation of machine learning and AI models through a modular and scalable architecture. It aims to streamline the lifecycle of AI systems by providing standardized components for data processing, model training, evaluation, and deployment. The framework is particularly useful for research and production environments where reproducibility and consistency are critical, as it enforces structured... -
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IBM-ODM-Docker
This repository allows to deploy an IBM Operational Decision Manager
IBM Operational Decision Manager on Docker. This repository centralizes the material to deploy IBM Operational Decision Manager in Docker. It includes Docker files and Docker compose descriptors. Docker files are used to build images of ODM runtimes. And docker-compose descriptor can be used to group this build, push to your repository and run your topology from Development to production. IBM ODM is a decisioning platform to automate your business policies. Business rules are used at the... -
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goose
A database migration tool. Supports SQL migrations and Go functions
...If using go1.15 or lower, then pin v3.0.1. We use timestamped migrations by default but recommend a hybrid approach of using timestamps in the development process and sequential versions in production. Supports missing (out-of-order) migrations with the -allow-missing flag, or if using as a library supply the functional option goose.WithAllowMissing() to Up, UpTo or UpByOne. Supports applying ad-hoc migrations without tracking them in the schema table. Useful for seeding a database after migrations have been applied. Use -no-versioning flag or the functional option goose.WithNoVersioning().
