Data science integration
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, react
- Domain
- backend-api-design, cloud, data
Research direction
Start by reading the existing reactpy.run entry point and the deployment plans in issue #1065. The issue names no files or tests; completion would require defining the reactpy-data-science package, its self-contained components, hook-free usage, and deployment-ready ASGI setup.
Written by the indexing model from the issue text.
Description
Current Situation
ReactPy currently requires too much web development knowledge for data scientists applications.
Proposed Actions
Create reactpy-data-science which contains pre-styled, self-contained components.
A few target goals we should have are:
- Package should not require hooks to operate
- Can easily be deployed to our future plans for cloud hosting architecture (see: #1065)
- Contains a simplified version of
reactpy.runthat sets up a deployment ready ASGI configuration.
- Dominant language
- Python
- Stars
- 8.1k
- Forks
- 332
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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