Alternatives

Awesome Data Analysis alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Awesome Data Analysis

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

100
Quality
88
Trust
1.4K
Stars
#1

ClickHouse

Similarity 143Trust 87Excellent 100

ClickHouse® is a real-time analytics database management system

48K starsJun 21, 2026 pushdata-analysisC++SQL
$ npx skills add ClickHouse/ClickHouse
#2

Trino

Similarity 141Trust 88Excellent 100

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

13K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add trinodb/trino
#3

Starrocks

Similarity 133Trust 88Excellent 100

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

12K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add StarRocks/starrocks
#4

Reflex

Similarity 128Trust 88Excellent 100

🕸️ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex
#5

Metabase

Similarity 128Trust 85Excellent 100

The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:

48K starsJun 30, 2026 pushdata-analysisClojureBI
$ npx skills add metabase/metabase
#6

Tidb

Similarity 127Trust 89Excellent 100

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

40K starsJun 20, 2026 pushdata-analysisGoSQL
$ npx skills add pingcap/tidb
#7

Dbeaver

Similarity 127Trust 87Excellent 100

Free universal database tool and SQL client

51K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add dbeaver/dbeaver
#8

Spark

Similarity 127Trust 87Excellent 100

Apache Spark - A unified analytics engine for large-scale data processing

43K starsJun 20, 2026 pushdata-analysisScalaSQL
$ npx skills add apache/spark
#9

Duckdb

Similarity 127Trust 87Excellent 100

DuckDB is an analytical in-process SQL database management system

39K starsJun 20, 2026 pushdata-analysisC++SQL
$ npx skills add duckdb/duckdb
#10

Flink

Similarity 126Trust 87Excellent 100

Apache Flink

26K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add apache/flink
#11

Timescaledb

Similarity 126Trust 85Excellent 100

A time-series database for high-performance real-time analytics packaged as a Postgres extension

23K starsJun 20, 2026 pushdata-analysisCSQL
$ npx skills add timescale/timescaledb
#12

Presto

Similarity 125Trust 87Excellent 100

The official home of the Presto distributed SQL query engine for big data

17K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add prestodb/presto
#13

Beam

Similarity 124Trust 88Excellent 100

Apache Beam is a unified programming model for Batch and Streaming data processing.

8.6K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add apache/beam
#14

Datafusion

Similarity 124Trust 86Excellent 100

Apache DataFusion SQL Query Engine

8.9K starsJun 20, 2026 pushdata-analysisRustSQL
$ npx skills add apache/datafusion
#15

Paradedb

Similarity 124Trust 85Excellent 100

Simple, Elastic-quality search for Postgres

8.9K starsJun 20, 2026 pushdata-analysisRustSQL
$ npx skills add paradedb/paradedb
#16

Pandas

Similarity 121Trust 90Excellent 100

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

49K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Awesome Data Analysis if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.

Awesome Data Analysis Alternatives for AI Agents | OpenAgentSkill