#计算机科学#Instant Kubernetes-Native Application Observability
#计算机科学#Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Par...
❄️ Coolest database around 🧊 Embeddable column database written in Go.
Manipulate JSON-like data with NumPy-like idioms.
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Loaders for big data visualization. Website:
#向量搜索引擎#Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
Rust-based WebAssembly bindings to read and write Apache Parquet data
#Awesome#Infrastructures™ for Machine Learning Training/Inference in Production.
Apache Kafka® compatible broker with S3, PostgreSQL, Apache Iceberg and Delta Lake
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
A Rust DataFrame implementation, built on Apache Arrow
A SQLite vtable extension to read Parquet files
Fletcher: A framework to integrate FPGA accelerators with Apache Arrow
Manipulate arrays of complex data structures as easily as Numpy.
ParquetSharp is a .NET library for reading and writing Apache Parquet files.