EDA
Self-HostedOpen-source self-hosted tool for Exploratory Data Analysis
Overview
EDA is a self-hosted analytics solution enabling teams to perform exploratory data analysis with privacy in mind. It supports interactive visualizations (charts, heatmaps, histograms) and connects to multiple data sources (SQL databases, CSV, Parquet). Deploy via Docker Compose for quick setup or Kubernetes for production scaling. Collaborate on customizable dashboards and run statistical tests without relying on cloud services. Ideal for data scientists and analysts who need full control over their data storage and processing pipelines.
Key Features
- Interactive data visualization tools for exploratory analysis
- Multi-source data support (SQL, CSV, Parquet)
- Docker/Kubernetes deployment options for flexibility
Frequently Asked Questions
? Is EDA hard to install?
EDA is easy to set up with Docker Compose—just follow the documentation’s step-by-step guide. Production-grade Kubernetes deployment requires basic DevOps skills but is well-documented for teams needing scalability.
? Is it a good alternative to Tableau?
EDA is a strong open-source alternative for teams prioritizing data privacy and cost savings. It covers core exploratory analysis needs but lacks some of Tableau’s advanced visualization templates and enterprise features.
? Is it completely free?
Yes, EDA is 100% open-source under the MIT license. You can use, modify, and distribute it freely for personal or commercial use with no hidden fees.
Top Alternatives
Tool Info
Pros
- ⊕ Data privacy via on-premises or private cloud storage
- ⊕ No recurring subscription costs
- ⊕ Customizable dashboards for team collaboration
Cons
- ⊖ Requires basic DevOps knowledge for production deployment
- ⊖ Fewer pre-built templates than SaaS alternatives like Tableau
- ⊖ Limited third-party integration ecosystem compared to commercial tools