Search Results for "data quality"
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173 projects for "data quality" with 2 filters applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Synthetic Data Kit
Tool for generating high quality Synthetic datasets
Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. -
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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. -
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WebP Codec
Library to encode and decode images in WebP format
libwebp is the reference codec library for Google’s WebP image format, providing both encoding and decoding along with command-line tools. It supplies cwebp to compress images into WebP and dwebp to decompress them back, making it easy to test quality/size trade-offs across presets and tuning parameters. The GitHub repository is a mirror; the canonical source of truth lives on Chromium’s git, and developer docs are hosted on WebP’s portal. The project underpins WebP support across browsers, imaging libraries, and many native apps thanks to its stable C API. Additional companion repos host test data and demos, including JavaScript builds and timing tests for various platforms. ... -
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Union Pandera
Light-weight, flexible, expressive statistical data testing library
...Validate the functions that produce your data by automatically generating test cases for them. Integrate seamlessly with the Python ecosystem. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Build confidence in the quality of your data by defining schemas for complex data objects. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Elide
Elide is a Java library that lets you stand up a GraphQL/JSON-API
...Make instances of your new model accessible through a top level collection or restrict access only through relationships to other models. And thats it, you are ready to deploy and query your data with JSON or GraphQL requests. Quickly build and deploy production-quality web services that expose your data as a service. Elide APIs support complex filtering rules, sorting, pagination, subscriptions, and text search. Controlling access to your data is as simple as defining your rules and annotating your models. -
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Another Redis Desktop Manager
A faster, better and more stable Redis desktop manager
Quality-of-life features include JSON viewers, search and filter tools, favorite connections, and dark mode. For everyday operations and troubleshooting, it offers a friendlier alternative to the command line without hiding Redis’s power. -
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DB Browser for SQLite
The DB Browser for SQLite
...Import and export records as text, import and export tables from/to CSV files, import and export databases from/to SQL dump files, issue SQL queries and inspect the results, examine a log of all SQL commands issued by the application, plot simple graphs based on table or query data. -
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stdlib
Standard library for JavaScript and Node.js
...High performance, rigorous, and robust mathematical and statistical functions. Build advanced statistical models and machine learning libraries. Plotting and graphics functionality for data visualization and exploratory data analysis. Analyze and understand your data. Comprehensively tested utilities for application and library development. Functions to assert, group, filter, map, pluck, and transform your data both in browsers and on the server. Everything you would expect from a modern standard library. Consistent interfaces combined with extensive documentation, examples, tests, and benchmarks. ... -
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Kotlin Dataframe
Structured data processing in Kotlin
...The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. 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. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software. All implemented algorithms... -
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Easy3D
Efficient library for processing 3D data
Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data. -
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Claude Code Plugins Directory
Official, Anthropic-managed directory of high quality Claude Plugins
Claude Code Plugins Directory repository provides a collection of plugins intended to extend Claude’s capabilities by turning the model into a specialized assistant tailored to specific workflows, teams, or organizational needs. These plugins define how Claude should access tools, retrieve data, and execute structured tasks so that outputs become more consistent and production-ready. The project emphasizes customizable automation by allowing developers to encode preferred workflows, domain... -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,... -
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Amper
Build tool for the Kotlin and Java languages
Amper is an open-source data collection and metric reporting agent developed by JetBrains as part of their internal analytics and telemetry infrastructure for IntelliJ-based products. Its purpose is to gather usage statistics, performance metrics, error reports, and other diagnostic signals from IDE installations in a privacy-conscious way to help product teams understand real-world usage patterns and improve quality. -
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OpenTelemetry Collector distributions
OpenTelemetry Collector Official Releases
High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. Create and collect telemetry from your services and software, then forward it to a variety of analysis tools. -
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Vexip UI
Vue 3 UI library, highly customizability, full TypeScript, performance
Highly customizability, full TypeScript, performance pretty good. This library is using base on vue 3.0 with using composition api, and design and code components in the traditional way by Vue possible, fully TypeScript. Almost all the default value of props for each component can be quickly modified by configuration, for easy customization. And, the writing of component codes pays great attention to lowering the threshold of source code reading, and the style of code is as close to the... -
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Restbed
Restbed framework brings asynchronous RESTful functionality
Restbed is a comprehensive and consistent programming model for building applications that require seamless and secure communication over HTTP, with the ability to model a range of business processes, designed to target mobile, tablet, desktop and embedded production environments. Server-Sent Events enable efficient server-to-client streaming of text-based event data—e.g., real-time notifications or updates generated on the server. A technique allowing multiple HTTP requests to be sent on a single TCP connection without waiting for the corresponding responses. Asynchronous single or multi-threaded architecture, capable of addressing the C10K problem. High-quality documentation covering the architecture and API. ... -
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Awesome Privacy
A curated list of privacy & security-focused software and services
Awesome Privacy is a curated directory of privacy-respecting alternatives to mainstream apps and services, organized across many categories like browsers, search, email, messaging, cloud storage, and operating systems. It aims to help you choose tools that reduce tracking, fingerprinting, and data collection without sacrificing usability. Each entry highlights the project’s core properties—such as open source status, end-to-end encryption, and platform availability—so you can evaluate trade-offs quickly. Because product landscapes change fast, the list emphasizes ongoing maintenance and community discussion around quality and trust. ... -
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sqlite-utils
Python CLI utility and library for manipulating SQLite databases
...The project also embraces an ecosystem of plugins, so you can add custom SQL functions, extra commands, or UIs (including a terminal UI) via separate packages. Because it’s designed by someone who uses SQLite heavily in real projects, the tool includes many small quality-of-life features. -
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Computer Science courses video lectures
List of Computer Science courses with video lectures
This repository is a curated list of full-length computer science video lecture series across many universities and MOOC platforms, helping learners assemble their own curriculum. The list spans foundational topics like algorithms, data structures, operating systems, computer networks, machine learning, and more, all delivered via lectures rather than just textual tutorials. The contributor guidelines encourage adding high-quality courses (not just casual tutorials) so the list remains academically oriented. Because it’s updated and community maintained, the collection grows with new offerings and helps learners evaluate what courses are available before starting. ... -
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jimmer
A revolutionary ORM framework for both java and kotlin.
...CDC solutions decoupled from specific caching technologies are transparent to business code. Requires no special prior knowledge - veterans of any ORM can quickly and painlessly migrate. The learning curve is scientifically friendly, serving as a high-quality reference for new learners of ORM usage. -
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OPENRNDR
Kotlin library for creative coding, real-time and interactive graphics
...OPENRNDR provides simple, reusable utilities with which creative coders can build robust, fast, and reliable (interactive) applications for prototyping as well as building production-quality software. With ORML you can easily connect to a number of widely used Machine Learning models, such as Facemesh, Posenet, and Stylegan. You can use OPENRNDR to visualize the data coming from these models in order to create compelling (interactive) experiences. The ORML library includes both models and interface code to make the use of those models simple. ... -
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LLM Datasets
Curated list of datasets and tools for post-training
...The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for targeted capabilities. Quality is a recurring theme: examples and utilities help filter low-value samples, enforce length limits, and split train/validation consistently so results are comparable. Licensing and provenance are surfaced to encourage compliant usage and to guide dataset selection in commercial settings. For practitioners, the repo is a practical “starting pantry” that accelerates experimentation and helps keep data wrangling from dominating the project timeline. -
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Software Engineering Blogs
A curated list of engineering blogs
Software Engineering Blogs is a curated collection of engineering-focused blog posts and resources aggregated from leading technology companies and developers. The repository serves as a centralized index that helps users discover high-quality technical content across a wide range of topics, including software engineering, system design, infrastructure, and data engineering. It is organized in a structured manner, making it easy to browse and find articles from specific companies or domains of interest. The project is continuously updated by the community, ensuring that the content remains relevant and reflective of current industry practices. ... -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a living library for practitioners who want to learn from real-world successes and failures — giving insight into how large organizations structure their data pipelines, how they manage ML lifecycle at scale, and what architectural or operational tradeoffs they made. ...
