Datos · GitHub

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Self-hosted data logger and dashboard for Rivian vehicles: drives, charging sessions, vehicle health, and more stored in your own database

ETL (extract, transform and load) tools for ingesting Polygon blockchain data to Google BigQuery and Pub/Sub

Automatic extraction of relevant features from time series:

• Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018). Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh -- A Python package). Neurocomputing 307, p. 72-77, doi: 10.1016/j.neucom.2018.03.067.
• Christ, M., Kempa-Liehr, A.W., and Feindt, M. (2017). Distributed and parallel time series feature extraction for industrial big data applications. ArXiv e-print 1610.07717, https://arxiv.org/abs/1610.07717.

Create and manage data pipes with Meerschaum.

• ⚡️ Incremental by default — the sync engine fetches only new or changed rows and concurrently updates many streams at once. Duplicate rows are ignored; rows with existing keys are updated.
• 📊 Built for data scientists and analysts — integrate with Pandas, Grafana, and friends; persist DataFrames and always get the latest data. Skip pandas overhead and read rows as plain dicts with Pipe.get_docs().

Free Introduction to SQL eBook

Materialize is a streaming database for real-time analytics. This is a collection of Materialize demos and tutorials.

High Performance Scalable Data Processing in Python and SQL

• Drop-in Pandas replacement, (just change the import!) with a seamless fallback to vanilla Pandas to avoid breaking existing workloads.
• Intuitive APIs for simplifying and scaling AI workloads.

Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, PostgreSQL, MySQL, SQLite, Oracle

Complemento para generar archivos BOM y CPL para JLCPCB, asignar números de pieza de LCSC directamente desde el complemento, consultar la base de datos de componentes de JLCPCB, buscar hojas de datos y mucho más.