Alternatives
Products that do what Run and import Jupyter notebooks like libraries does
- 1JR
2020 · starboard.gg
- 2RJ
2021 · deepnote.com
- 3RJ
2016 · github.com
- 4AK
2018 · github.com
- 5LC
2020 · github.com
- 6

- 7PL
2020 · github.com
- 8RJ
2022 · github.com
- 9IT
2018 · github.com
- 10TJ
2023 · runmercury.com
- 11EA
2021 · github.com
- 12MP
Mercury is a perfect tool to share your Python notebooks with non-programmers. - You can turn your notebook into web app. - You can add interactive widgets to your notebook by defining the YAML header. Your users can change the input and execute the notebook. - You can hide your code to not scare your (non-coding) collaborators. - Users can interact with notebook and save they results. - You can share notebook as a web app with multiple users - they don't overwrite original notebook. The demo running at Heroku (free dyno) http://mercury-demo-1.herokuapp.com, at AWS EC2 (t3a.small)…
2022 · github.com
- 13SN
2017 · vatlab.github.io
- 14

- 15CP
2018 · github.com
- 16

- 17TJ
2023 · runmercury.com
- 18MW
2021 · trymito.io
- 19PC
Hi HN! I recently built Neutrino Notebooks, an open source python library for compiling Jupyter notebooks into FastAPI apps. I work with notebooks a ton and typically find myself refactoring notebook code into a backend or some other python script. So, I made this to streamline that process. In short, it lets you: - Expose cells as HTTP or websockets endpoints with comment declaratives like `@HTTP` and `@WS` - Periodically run cells as scheduled tasks for simple data pipelines with `@SCHEDULE` - Automatic routing based on filename and directory structure, sort of similar to NextJs. - Ignore…
2023 · docs.neutrinolabs.dev
- 20RJ
2023 · blog.coiled.io
- 21AT
2019 · github.com
- 22JK
2021 · github.com
- 23

- 24TJ
2020 · dolphyn.io
Ranked by how close each launch is in meaning, then by votes. Refine with a description →