Apache Superset is a Data Visualization and Data Exploration Platform
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Spark - A unified analytics engine for large-scale data processing
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Apache Flink
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
The premier source of truth powering network automation. Open source under Apache 2. Try NetBox Cloud free: https://netboxlabs.com/products/free-netbox-cloud/
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
ApacheCN 数据结构与算法译文集
Apache Beam is a unified programming model for Batch and Streaming data processing.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
A blazingly fast multi-language serialization framework for idiomatic domain objects, schema IDL, and cross-language data exchange.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Apache Avro is a data serialization system.
App to easily query, script, and visualize data from every database, file, and API.
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.
A cluster computing framework for processing large-scale geospatial data
Apache DataFusion Ballista Distributed Query Engine
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Elyra extends JupyterLab with an AI centric approach.
Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
PySpark + Scikit-learn = Sparkit-learn