Releases: XpressAI/xircuits
v1.2.0
Full List of Features
- ✨ contributor update (templates for bugs, feature requests, and contributors) by @MFA-X-AI in #113
- ✨Enable undo and redo by @AdrySky in #110
- ✨ Xircuits Context by @MFA-X-AI in #109
- 💄 added custom loading logo by @MFA-X-AI in #108
- 🤖 Fahreza/playwright tests by @MFA-X-AI in #107
- ✨Enable cut, copy and paste node @AdrySky in #105
Bugs Fixed
Other
- Bump url-parse from 1.5.8 to 1.5.10 by @dependabot in #115
- 🤖 updated wheel name in github action by @MFA-X-AI in #107
- Bump url-parse from 1.5.4 to 1.5.8 by @dependabot in #106
- Bump follow-redirects from 1.14.7 to 1.14.8 by @dependabot in #104
Full Changelog: v1.1.0...v1.2.0
v1.1.0
Big Features
1. Double Click to Edit Literals
Previously before this feature, users would have to delete, drag another literal node, and edit the values for each literals, even for a simple misspelling! Now all you need to do it double click and you can easily edit the input. Amazing QoL feature!
2. Right Click Context Menu
The foundation of future right-click-do-something features. Currently you can edit & delete nodes, as well as run Xircuits from this menu.
Full List of Features
- 🎨Add end msg after run process by @AdrySky in #96
- ✨Add context menu by @AdrySky in #99
- 💄Change into labIcon and replace the refresh icon by @AdrySky in #100
- ✨Enable editing literal keep linked by @AdrySky in #98
- updated wheel name in github action by @MFA-X-AI in #103
Bugs Fixed
- 🐛Fix path to open components script by @AdrySky in #94
- 🐛Fix kernel not dispose when closed by @AdrySky in #101
- 🐛Dispose output panel when no kernel selected by @AdrySky in #102
Other
- Bump follow-redirects from 1.14.7 to 1.14.8 by @dependabot in #104
New Contributors
- @dependabot made their first contribution in #104
Full Changelog: v1.0.0...v1.0.1
First official release of Xircuits
The first release of Xircuits. A Jupyterlab plugin that enables you to create and execute no-code workflows.
Xircuits brings an Unreal Engine Blueprints-inspired workflow to your machine learning projects without having to compromise on flexibility as components are simple python classes.
With this initial release of Xircuits you can:
- Create new Xircuit files.
- Edit Xircuit files using drag and drop.
- Compile and run Xircuit files as python programs.
- Create and edit new components.
- Debug Xircuit components interactively.
- Run as Stand alone or as Spark jobs.
- Use pre-bundled component libraries which support:
- Machine Learning operations with Scikit Learn.
- Pytorch for deep learning.
- Model Stash for model management.