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High-performance cloud for developers.
The serverless platform for teams. Run generative AI models, large-scale batch jobs, job queues, and much more.
Bring your own code — we run the infrastructure.
Modal is a serverless platform for data and AI/ML engineers to run and deploy code in the cloud without having to think about infrastructure. Run generative AI models, large-scale batch jobs, job queues, and more, all faster than ever before.
Interactive SQL. Analyze petabyte-scale data where it lives with ease and flexibility.
Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analyze data or build applications from an Amazon Simple Storage Service (S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python. Athena is built on open-source Trino and Presto engines and Apache Spark frameworks, with no provisioning or configuration effort required.
📊 Cube — The Semantic Layer for Building Data Applications.
The Universal Semantic Layer.
Build trust with a semantic layer. Connect siloed data, define consistent metrics, and power AI and analytics with context.
Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application.
Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests.
Storage for private, distributed, offline-first applications.
Earthstar is a specification and JavaScript library for building connected applications owned and run by their users.
A protocol for peer-to-peer data stores. The best parts? Fine-grained permissions, a keen approach to privacy, destructive edits, and a dainty bandwidth and memory footprint.
The unified data layer
Connect your APIs, databases and microservices to a unified API at the edge. Delight your users with fast response times globally. Deploy globally fast GraphQL APIs with a top-notch developer experience.
Random Data Generator and API Mocking Tool (JSON / CSV / SQL / Excel).
Need some mock data to test your app? Mockaroo lets you generate up to 1,000 rows of realistic test data in CSV, JSON, SQL, and Excel formats.
XetHub brings speedy access and Git-based collaboration to large scale repositories of data, code, or any combination of files.
Our instant mount feature makes it possible to access GBs and TBs of data in seconds at the speed of localhost, while our de-duplication algorithm stores data and differences efficiently to save money and speed up development cycles.
XetHub is ideal for teams who already use Git to track their code changes, and want to leverage the power of infinite history, pull requests, and difference-based tracking for larger assets such as datasets or media files. Managing complete projects with familiar Git semantics makes change tracking and continuous integration a breeze, especially for workflows that use code to generate or augment assets.
The Data Platform for the Hybrid World.
The Unifier Security and Observability Platform.
A data platform built for expansive data access, powerful analytics and automation
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed.
React Hooks for Data Fetching.
The name “SWR” is derived from stale-while-revalidate, a HTTP cache invalidation strategy popularized by HTTP RFC 5861. SWR is a strategy to first return the data from cache (stale), then send the fetch request (revalidate), and finally come with the up-to-date data.
Graph Database Management System.
Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale.
With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.
Captcha solver extension for humans.
Buster is a browser extension which helps you to solve difficult captchas by completing reCAPTCHA audio challenges using speech recognition. Challenges are solved by clicking on the extension button at the bottom of the reCAPTCHA widget.
Data Brewery is a set of Python frameworks and tools for data processing and analysis.
OpenRefine (formerly Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; extending it with web services; and linking it to databases like Freebase.
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
It's a data table for jQuery. I made it to study grunt and it's first part of my Symfony 2 admin boundle. The plugin is highly customizable, It's uses html template to generate the table (it's not necessary to be a table, can be anything see "Custom template" example) and the whole plugin module based, so you can add new features easily.