Search Results for "analytics" - Page 12
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Showing 940 open source projects for "analytics"
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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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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. ... -
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opcode
A powerful GUI app and Toolkit for Claude Code
opcode is an open source desktop application and toolkit designed to enhance the developer experience when working with Claude Code by providing a graphical interface and advanced workflow management tools. The project acts as a command center for AI-assisted programming, bridging the gap between command-line workflows and modern visual development environments. Built using the Tauri framework, Opcode enables developers to manage multiple Claude sessions, create custom agents, and track... -
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Vanna 2.0
Chat with your SQL database
...The framework uses a retrieval-augmented generation architecture that learns from database schemas, documentation, and past query examples to generate accurate queries tailored to a specific dataset. Vanna can be integrated into many environments, including notebooks, web applications, messaging platforms, and data dashboards, making it flexible for analytics and data exploration workflows. The system streams query results, visualizations, and summaries directly to user interfaces, allowing non-technical users to interact with complex data systems through conversational queries. It also includes enterprise-grade features such as user-aware security, permission enforcement, and query auditing for production deployments. -
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papermill
Parameterize, execute, and analyze notebooks
...Instead of manually opening and running a notebook inside JupyterLab or Notebook every time, Papermill lets you inject new values into a specially tagged parameters cell and execute the entire notebook automatically via a script or automation pipeline, which enables robust automation of data analysis, reports, and experiments. This capability is particularly useful in data science and analytics, where a template notebook might be reused for batching reports across dates, customers, or other variables without rewriting code or duplicating notebooks. Papermill supports both Python API usage and a command-line interface, making it flexible for integration with CI/CD systems, shells, and workflow orchestration tools like Airflow. -
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Qwen3-ASR
Qwen3-ASR is an open-source series of ASR models
...The architecture combines advanced neural acoustic modeling with context-aware language prediction so that outputs maintain both fidelity to the original speech and grammatical coherence. This makes Qwen3-ASR suitable for voice-driven applications like AI assistants, dictation tools, speech analytics pipelines, and accessibility features, where accurate and fluid transcription is critical. -
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Agentic Data Scientist
An end-to-end Data Scientist
Agentic Data Scientist is an experimental AI-driven research framework that orchestrates data science workflows through autonomous agents that can reason, plan, and execute complex analytics tasks. Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data sources, and adapt to uncertainties during processing, enabling iterative refinement of models without manual coordination. ... -
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Open Wearables
Self-hosted platform to unify wearable health data
...This approach allows users to break free from manufacturer lock-in while enabling richer, customizable dashboards, real-time visualizations, and personalized health analytics that match real-world needs rather than a one-size-fits-all model. It provides building blocks for federated data storage, modular device drivers, and plugin frameworks so contributions from different communities can extend capabilities without rewriting core logic. -
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Habit Tracker
Habit Tracker for the AI Coding Workshop
Habit Tracker is a personal habit-tracking web application designed to help users build and maintain daily habits through intuitive UI and analytics that visualize progress over time. It runs locally with a FastAPI backend (Python) and a React frontend, storing all data in a lightweight SQLite database so there’s no need for user accounts or cloud storage, which keeps habit data fully private and self-contained. The app provides streak tracking and completion rates for each habit, giving users feedback on consistency and motivation by showing how often habits are completed and where they may be lagging. ... -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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Eloquent Viewable
Associate views with Eloquent models in Laravel
Sometimes you don't want to pull in a third-party service like Google Analytics to track your application's page views. Then this package comes in handy. Eloquent Viewable allows you to easily associate views with Eloquent models. It's designed with simplicity in mind. This package stores each view record individually in the database. The advantage of this is that it allows us to make very specific counts. -
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Elide
Elide is a Java library that lets you stand up a GraphQL/JSON-API
Model-driven {json:api} & GraphQL web services for CRUD and Analytics. Elide is a Java library that enables you to stand up JSON API or GraphQL web services in 4 simple steps. Define a JPA annotated model including relationships to other models using Java, Kotlin, Groovy, and other JVM languages. Control access to fields and entities through a declarative, intuitive permission syntax. Make instances of your new model accessible through a top level collection or restrict access only through relationships to other models. ... -
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized,... -
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AlphaClaw
OpenClaw harness and fleet manager.
AlphaClaw is an open-source management layer and deployment harness built on top of OpenClaw to simplify running and maintaining AI agents. It provides a browser-based interface that replaces manual CLI workflows with an intuitive setup and management experience. Designed for reliability, AlphaClaw includes a self-healing watchdog system that detects crashes, performs repairs, and automatically restarts the agent environment. It integrates with multiple platforms such as Slack, Discord,... -
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Netflix Maestro
Netflix’s Workflow Orchestrator
Maestro is a large-scale workflow orchestration platform originally developed by Netflix to coordinate complex data processing and machine learning workflows across distributed systems. The system acts as a general-purpose workflow orchestrator that manages the execution, scheduling, monitoring, and recovery of large pipelines used for analytics and AI operations. It was designed to support the demanding internal infrastructure of Netflix, where thousands of workflows must process massive volumes of data reliably and efficiently every day. The platform enables engineers and data scientists to define workflows using structured configuration files and execute tasks across diverse compute environments, including scripts, containers, and notebook environments. ... -
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c15t
The Developer-First Cookie Banner
c15t is a developer-first, open-source consent management platform designed to help modern web applications manage user privacy and compliance, especially for things like cookie banners, consent dialogs, and script loading in a way that supports GDPR and other privacy regulations. Rather than relying on heavy third-party scripts or services, it offers a flexible, headless engine that web teams can integrate directly into their front-end and edge stacks with minimal overhead, giving full... -
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Kohaku
Privacy-first tooling for the Ethereum ecosystem
...The project recognizes that privacy leaks in Ethereum go beyond just on-chain visibility — they include RPC endpoints exposing IPs, address reuse across dApps, and metadata captured by analytics or monitoring systems. Kohaku addresses privacy holistically: from local light-client verification (to reduce reliance on centralized RPCs) to per-dApp account isolation (so one user session cannot be correlated across services). It also integrates with existing privacy protocols (e.g., shielded transaction pools) and envisions long-term capabilities like post-quantum signatures, hardware wallet hooks, and minimal-trust data queries (TEE/ORAM or PIR). -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. ... -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,... -
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Inferable
Inferable is a developer-first AI automation platform
Create your first AI automation in 60 seconds. Inferable seamlessly integrates with your existing codebase and infrastructure, allowing you to create powerful AI automation without compromising on control or security. Works with your existing codebase. Integrates with your existing services via opt-in. Enforce determinism through source code. Create and manage automation programmatically. You own the computer, in your own infrastructure. Inferable comes out of the box with delightful DX to... -
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OpenSearch
Open source distributed and RESTful search engine
OpenSearch is a distributed search and analytics engine based on Apache Lucene. After adding your data to OpenSearch, you can perform full-text searches on it with all of the features you might expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results. Unsurprisingly, people often use search engines like OpenSearch as the backend for a search application, think Wikipedia or an online store. -
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IVY
The Unified Machine Learning Framework
...For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an awesome model on GitHub, written in JAX. We'll use PerceiverIO as an example. Implement the model in PyTorch yourself, spending time and energy ensuring every detail is correct. ... -
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buku
Personal mini-web in text
...Search bookmarks instantly with multiple search options, including regex and a deep scan mode (handy with URLs). It can look up broken links on Wayback Machine. There's an Easter Egg to revisit random bookmarks. There's no tracking, hidden history, obsolete records, usage analytics or homing. To get started right away, jump to the Quickstart section. buku has one of the best documentation around. The man page comes with examples. -
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Centrifugo
Scalable real-time messaging server in a language-agnostic way
Centrifugo is language-agnostic. It's a standalone server with a simple API that integrates well with an application written in any programming language. No need to change an existing application architecture to introduce real-time features. Just add Centrifugo nearby and let it deal with persistent connections. Centrifugo is built in Go language with some smart optimizations inside. It has good performance – see a description of a test stand with one million WebSocket connections and 30... -
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DocsGPT
Private AI platform for agents, enterprise search and RAG pipelines
DocsGPT is an open-source AI platform for deploying private RAG pipelines, AI agents, and enterprise search on your own infrastructure. Connect any data source (PDFs, DOCX, CSV, Excel, HTML, audio, GitHub, databases, URLs) and get accurate, hallucination-free answers with source citations. Choose your LLM: OpenAI, Anthropic, Google Gemini, or local models. Works with Qdrant, MongoDB, and Elasticsearch and more. Deploy via Docker or Kubernetes with full data sovereignty. Build... -
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Ignite UI CLI
Ignite UI Command-Line Interface by Infragistics
A complete Angular components library of Angular-native UI controls and material-based UI components, including the fastest Angular data grid and 60+ high-performance charts! Compatible with Angular 16 and built to be enterprise-grade. Kickstart your next project with our drag-and-drop WYSIWYG App Builder for the fastest way to deliver high-performance Angular apps. Angular app development has never been easier with the cloud-based WYSIWYG drag & drop App Builder™. Instantly convert designs...
