Changelog
A timeline of updates, new features, and improvements to TableFlux.
v1.2.0 — The Massive Feature Expansion
Today
We've added some of our most highly-requested features to transform TableFlux into a complete data engineering suite, all while keeping our 100% client-side privacy guarantee.
- Smart Column Types: TableFlux now automatically detects Numbers, Dates, Booleans, and Text. Sorting is now mathematically accurate.
- Smart Extract: A new powerful tool using advanced Regex to instantly extract Emails, Domains, Phone Numbers, or Numbers from any column into a new one.
- Merge Columns: You can now select multiple columns and combine them with a custom separator (e.g., merging First Name and Last Name).
- Find & Replace: A global search-and-replace tool with Regex support.
- Remove Duplicates: A 1-click button to nuke duplicate rows from your dataset.
- Transform Modal: We added a confirmation safeguard for all transformations so you never accidentally wipe out your data.
- CSV Export: Added native CSV export support to the Output panel.
- Massive Format Expansion: We now support over 40+ formats for data export, including ActionScript, LaTeX, MediaWiki, Protobuf, Ruby, PHP, and Pandas! Parsing support was also added for LaTeX and MediaWiki tables.
v1.1.0 — UI Polish & Stability
A few days ago
A massive update focusing on making the app feel as smooth and professional as possible.
- Completely redesigned the Contact page with a modern side-by-side layout.
- Fixed a major bug where dropdown menus were trapped behind table headers.
- Fixed an issue where the editor would momentarily appear empty on refresh before hydration completed.
- Removed redundant sort buttons in the column menu to declutter the UI.
- Added global footer to all static pages for a more cohesive experience.
- Added custom 404 page and Documentation pages.
v1.0.0 — Initial Release
Last week
We launched TableFlux, the fastest client-side data converter on the web.
- Added support for parsing CSV, TSV, JSON, JSONL, XML, and YAML.
- Built a high-performance virtualized data grid for handling 10,000+ rows instantly.
- Implemented real-time SQL, Markdown, HTML, and JSON exports.
- Architected the entire app to be 100% client-side. Zero data is ever sent to our servers.