Their Pitch
Find, share and publish quality data with Datahub.
Our Take
It's GitHub Pages for data nerds. Upload your CSV, get instant previews and embeds, no coding required.
Deep Dive & Reality Check
Used For
- +**Your colleagues won't download your 50MB CSV to see if it's useful** → They get a clean preview table they can copy straight to Excel
- +**You're sharing postal code data and people keep asking "what countries are included?"** → Auto-generated maps show coverage at a glance
- +**Your GitHub repo is just raw files that look boring and technical** → Becomes a live website with charts and explanations
- +Embeds data snippets in any website - no iframe wrestling or custom database setup
- +Auto-syncs with GitHub repos - update your data, website updates instantly
Best For
- >Researchers who need to share datasets without forcing people to download mystery files
- >Open data teams tired of GitHub's plain file limits and want actual previews
- >Analysts who want to embed clean data tables in websites without wrestling with HTML
Not For
- -Teams needing private data governance - this is for public sharing only, not enterprise metadata management
- -Anyone working with huge datasets - preview tables cap out at 2,000 rows to keep browsers from crashing
- -Solo users without GitHub workflows - the real power comes from repo integration, not standalone uploads
Pairs With
- *GitHub (where your actual data lives and gets auto-synced to create the live sites)
- *Excel (what people copy your preview tables into because that's where data goes to die)
- *Google Sheets (the other place people paste your data when they can't be bothered with proper tools)
- *Jupyter Notebooks (for the actual analysis work before you publish the clean results)
- *Tableau Public (when you need fancier visualizations than DataHub's basic charts can handle)
The Catch
- !You're locked into GitHub for the full experience - no GitHub repo means you're stuck with basic previews
- !The 2,000 row limit isn't just for previews, it's to prevent the whole thing from falling over with real datasets
- !No pricing info anywhere, which usually means "contact sales" is coming for anything serious
Bottom Line
Turns your boring CSV files into shareable websites that don't look like spreadsheet vomit.