Open Data Platform for analysts, quants and AI agents.
- python
- machine-learning
- finance
- stocks
61,121 visible repositories in the index
1–12 of 12 · Most stars
Open Data Platform for analysts, quants and AI agents.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Always know what to expect from your data.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
golang long polling library. Makes web pub-sub easy via HTTP long-poll servers and clients :smiley: :coffee: :computer:
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Please note that the warc-indexer tool & code is now supported by NetArchiveSuite. The 'warc-indexer' directory and code that exists in this repo is now only for reference. For support and issues of 'warc-indexer', please communicate with NetArchiveSuite.
Emissary is simple, yet 🗲FAST🗲 messaging library for decoupling messages (requests and events) and message handlers 🚀