Search Results for "analytics" - Page 12
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Showing 1021 open source projects for "analytics"
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1
LaRecipe
Write gorgeous documentation for your products using Markdown
Write gorgeous documentation with Markdown inside your Laravel apps. LaRecipe is simply a code-driven package provides an easy way to create beautiful documentation for your product or application inside your Laravel app. Configure your entire docs with simple PHP code. None of your docs configurations is stored in the database. LaRecipe provides a bunch of amazing-looking UI Vue-based components powered by TailwindCSS. LaRecipe allows you add your own custom assets though custom packages in... -
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Citus
Distributed PostgreSQL as an extension
Citus is a PostgreSQL extension that transforms Postgres into a distributed database, so you can achieve high performance at any scale. With Citus, you extend your PostgreSQL database with new superpowers. Distributed tables are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage and I/O capacity. References tables are replicated to all nodes for joins and foreign keys from distributed tables and maximum read performance. Distributed query engine routes and... -
3
IronClaw
IronClaw is OpenClaw inspired but focused on privacy & security
IronClaw is a security-first, open-source personal AI assistant built in Rust and designed to keep your data fully under your control. It operates on the principle that your AI should work for you, not external vendors, ensuring all data is stored locally, encrypted, and never shared. The platform emphasizes transparency, offering auditable code with no hidden telemetry or data harvesting. IronClaw runs untrusted tools inside isolated WebAssembly (WASM) sandboxes with strict capability-based... -
4
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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5
GSYVideoPlayer
Android video player library
...Developers can embed players in RecyclerView lists, wire custom controls, and switch underlying renderers or decoders to match device capabilities and formats. Hooks for callbacks and state listeners make it straightforward to integrate analytics, preloading, and error recovery into apps. With a modular design and extensive demos, GSYVideoPlayer serves both as a practical production player and as a reference for building polished media experiences on Android. -
6
LittleLink
A lightweight DIY alternative to services like Linktree
The DIY self-hosted LinkTree alternative. LittleLink has more than 60 branded button styles you can easily use, with more being added by our community all the time. LittleLink has more than 60 branded button styles you can use (with even more being added by our community). You'll also find a light and dark theme ready to go. Not a fan of the default colors? Update skeleton-light.css or skeleton-dark.css to the HEX values of your choosing. You can also set your CSS to skeleton-auto.css, which... -
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Google Mobile Ads Unity Plugin
}Unity Plugin for the Google Mobile Ads SDK
The Google Mobile Ads SDK is the latest generation in Google mobile advertising featuring refined ad formats and streamlined APIs for access to mobile ad networks and advertising solutions. The SDK enables mobile app developers to maximize their monetization in native mobile apps. This repository contains the source code for the Google Mobile Ads Unity plugin. This plugin enables Unity developers to easily serve Google Mobile Ads on Android and iOS apps without having to write Java or... -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of... -
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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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10
Pixeltable
Data Infrastructure providing an approach to multimodal AI workloads
...The framework supports multimodal content including images, video, text, and audio, enabling applications such as retrieval-augmented generation systems, semantic search, and multimedia analytics. -
11
Unstract
No-code LLM Platform to launch APIs and ETL Pipelines
...Unstract supports deploying structured extraction as REST API endpoints or embedding it into data engineering ETL pipelines, which allows it to plug directly into data warehouses, cloud storage, or downstream analytics systems. Its platform works with a broad variety of file types — from PDFs and spreadsheets to images — and includes integrations with databases, cloud storage providers, and vector databases. -
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OpenForm
Open Source TypeForm Clone
OpenForm is an open-source platform that provides a modern, customizable alternative to proprietary form builders like Typeform, focusing on engaging one-question-at-a-time user experiences. It’s built with modern web technologies including Next.js and Tailwind CSS, offering developers a flexible, mobile-friendly foundation for surveys, feedback forms, and data collection, with support for authentication via Google OAuth and Magic Link. The platform includes a built-in dashboard to review,... -
13
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... -
14
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). -
15
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. ... -
16
Fabric
Fabric is an open-source framework for augmenting humans using AI
Fabric is a command-line framework that turns a curated library of prompt “patterns” into reusable, automatable workflows for large language models. Instead of repeatedly crafting ad-hoc prompts, you pick a pattern (for research, summarization, brainstorming, code review, and more) and feed it inputs or files. The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with... -
17
MooseStack
The developer framework for building analytical backends
MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around... -
18
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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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. ... -
20
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. -
21
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. ... -
22
Pushpin
Proxy server for adding push to your API
...Since Pushpin is a proxy server, the backend can be written in any language. Convenience libraries are available to make integration easy. With Pushpin, API management systems can manage real-time endpoints. Authentication, analytics, etc. work as you'd expect. Pushpin listens on port 7999. Edit the routes file to point traffic to your backend. Make an endpoint on the backend that responds with instructional HTTP headers. -
23
Deequ
Deequ is a library built on top of Apache Spark
...It also includes a little domain-specific language called DQDL (Data Quality Definition Language) which allows declarative specification of quality rules. Users typically run Deequ before feeding data downstream (to ML pipelines, analytics, or production systems), enabling early detection and isolation of data errors. There is also a Python wrapper, PyDeequ, for users who prefer working from Python environments. -
24
openctp
Provides CTP stock options and Zhongtai Securities XTP
...The project offers a comprehensive simulation environment similar to SimNow that supports futures, options, A share stocks, funds, bonds, and stock options, and even extends to Hong Kong and US markets. In addition to the core library, openctp supplies Python bindings for CTPAPI and stock options APIs, making it easier to build strategies, tools, and analytics in Python. It also develops full featured and lightweight trading clients like TickTrader, TickTraderMini, and ViTrader, which support multiple desks and markets. -
25
Kotlin Dataframe
Structured data processing in Kotlin
...The process of working with data frame is often called data wrangling which is the process of transforming and mapping data from one "raw" data form into another format that is more appropriate for analytics and visualization. The goal of data wrangling is to assure quality and useful data.
