A LiDAR odometry pipeline that just works
- 3d-mapping
- icp
- lidar-slam
- slam
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A LiDAR odometry pipeline that just works
HTML processing filters and utilities
Translated【A common used C++ & Python DAG framework】 A general-purpose, third-party-dependency-free, cross-platform parallel computing framework based on flow graphs, listed in awesome-cpp. Welcome to star & fork & discuss
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
A lightweight stream processing library for Go
CLI task management & automation tool
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Elyra extends JupyterLab with an AI centric approach.
A full spaCy pipeline and models for scientific/biomedical documents.
Azure Pipelines Agent 🚀
Composable concurrency toolkit for Go
Go HardWare discovery/inspection library
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Twitter Image Pipeline is a robust and performant image loading and caching framework for iOS clients
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
A categorized collection of FFmpeg commands for video automation pipelines.
Pipe your nix-build output through the nix-output-monitor a.k.a nom to get additional information while building.
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Cookbook for Node on FHIR and the clinical Meteor.js build pipeline. Create FDA, HIPPA, and HL7 compliant Javascript/Node applications!
Python Streaming DataFrames for Kafka
Fastest end-to-end CSV ingestion for Ruby (with C acceleration). SmarterCSV auto-detects formats, applies smart defaults, and returns Rails-ready hashes for seamless use with ActiveRecord, Sidekiq, parallel jobs, and S3 pipelines — even for messy user-uploaded real-world data.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
MLeap: Deploy ML Pipelines to Production