Search Results for "talend data quality"
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Showing 271 open source projects for "talend data quality"
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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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Gretel Synthetics
Synthetic data generators for structured and unstructured text
Unlock unlimited possibilities with synthetic data. Share, create, and augment data with cutting-edge generative AI. Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports.... -
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Dagster
An orchestration platform for the development, production
Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally. ... -
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SDGym
Benchmarking synthetic data generation methods
...You also customize the process to include your own work. Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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AG Grid
The best JavaScript Data Table for building enterprise applications
The performance, feature set and quality of AG Grid have not been seen before in a JavaScript data grid. Many features in AG Grid are unique to AG Grid, and simply put AG Grid into a class of its own, without compromising on quality or performance. Over 600,000 monthly downloads of AG Grid Community and over 50% of the Fortune 500 using AG Grid Enterprise. AG Grid has become the JavaScript Datagrid of choice for Enterprise JavaScript developers. -
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Ember.js
A JavaScript framework for creating ambitious web applications
...It's designed to make building web applications a whole lot easier, with everything you need to build rich UIs that work on any device available to you right out of the box. Ember helps keep you at your most productive with its solid CLI, built-in router, fully-featured data access library called Ember Data, and many other great features. Ember also comes with a Glimmer rendering engine, one of the fastest rendering technologies on the market today. Ember has got everything that modern JS has to offer, and if you want more you can always turn to Ember's high-quality, curated community Addons to supercharge your application. -
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Best-of Python
A ranked list of awesome Python open-source libraries
...Correctly generate plurals, ordinals, indefinite articles; convert numbers. Libraries for loading, collecting, and extracting data from a variety of data sources and formats. Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks. -
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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. ... -
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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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a... -
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Matplot++
Matplot++: A C++ Graphics Library for Data Visualization
Data visualization can help programmers and scientists identify trends in their data and efficiently communicate these results with their peers. Modern C++ is being used for a variety of scientific applications, and this environment can benefit considerably from graphics libraries that attend the typical design goals toward scientific data visualization. -
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Step CI
Automated API Testing and Quality Assurance
Step CI is an open-source API Quality Assurance framework. Language-agnostic. Configure easily using YAML, JSON or JavaScript. REST, GraphQL, gRPC, tRPC, SOAP. Test different API types in one workflow. Self-hosted. Test services on your network, locally or with CI/CD. Integrated. Play nicely with others. -
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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. ... -
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GeoNode
GeoNode is an open source platform for geospatial data
...Social features like user profiles and commenting and rating systems allow for the development of communities around each platform to facilitate the use, management, and quality control of the data the GeoNode instance contains. It is also designed to be a flexible platform that software developers can extend, modify or integrate against to meet requirements in their own applications. -
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Apache InLong
Apache InLong - a one-stop integration framework for massive data
...InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats. -
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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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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. -
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Backstage
Backstage is an open platform for building developer portals
...Instead of restricting autonomy, standardization frees your engineers from infrastructure complexity. So you can return to building and scaling, quickly and safely. Every team can see all the services they own and related resources (deployments, data pipelines, pull request status, etc.) -
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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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Synthea Patient Generator
Synthetic Patient Population Simulator
SyntheaTM is an open-source, synthetic patient generator that models the medical history of synthetic patients. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions, enabling research with Health IT data that is otherwise legally or practically unavailable. The models used to generate synthetic patients are informed by numerous academic publications. ... -
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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. -
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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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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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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,...
