[PR #3065] [CLOSED] Add SlothDB to Database section #16016

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GiteaMirror · 2026-05-02T08:17:15-05:00

GiteaMirror commented

2026-05-02 08:17:15 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/3065
Author: @SouravRoy-ETL
Created: 4/16/2026
Status: ❌ Closed

Base: master ← Head: add-slothdb

📝 Commits (1)

5a2e1bc Add SlothDB to Database section

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Add SlothDB

SlothDB is an embedded analytical database engine with Python bindings (pip install slothdb).

Why it belongs here:

Embedded OLAP database like DuckDB (already listed), but with GPU acceleration
Python API with pandas integration (result.fetchdf())
Query CSV, Parquet, JSON, Excel files directly with SQL
Zero external dependencies
MIT licensed

import slothdb
db = slothdb.connect()
result = db.sql("SELECT * FROM 'data.csv' WHERE region = 'US'")
df = result.fetchdf()  # pandas DataFrame

Placement: Database section, alphabetical order after pickledb.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/3065 **Author:** [@SouravRoy-ETL](https://github.com/SouravRoy-ETL) **Created:** 4/16/2026 **Status:** ❌ Closed **Base:** `master` ← **Head:** `add-slothdb` --- ### 📝 Commits (1) - [`5a2e1bc`](https://github.com/vinta/awesome-python/commit/5a2e1bcfc32ee25afec95897b054a172469ce141) Add SlothDB to Database section ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## Add SlothDB [SlothDB](https://github.com/SouravRoy-ETL/slothdb) is an embedded analytical database engine with Python bindings (`pip install slothdb`). **Why it belongs here:** - Embedded OLAP database like DuckDB (already listed), but with GPU acceleration - Python API with pandas integration (`result.fetchdf()`) - Query CSV, Parquet, JSON, Excel files directly with SQL - Zero external dependencies - MIT licensed ```python import slothdb db = slothdb.connect() result = db.sql("SELECT * FROM 'data.csv' WHERE region = 'US'") df = result.fetchdf() # pandas DataFrame ``` **Placement:** Database section, alphabetical order after pickledb. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-05-02 08:17:15 -05:00

GiteaMirror closed this issue

2026-05-02 08:17:16 -05:00

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Reference: github-starred/awesome-python#16016