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Dev tools · May 2, 2019

Jupyter Notebook Scheduler

Run your Jupyter notebooks on a schedule with three clicks

Jupyter Notebook Scheduler launched on May 2, 2019 with 88 votes, #380 of 3,072 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 7 years on.

What it does

Schedule a Notebook to run automatically. Update Pandas DataFrames daily, hourly or every 5 minutes and share data with your team via Slack or Sheets – you can also Slack matplotlib charts or any other image / output generated in your Notebook.

Does a similar job

all alternatives →
  • Lime AI2023 · datalimeai.com · ▲89

    Create Jupyter notebooks with AI

  • BM
    Briefer – Multiplayer notebooks with schedules, SQL, and built-in LLMs2024 · briefer.cloud · ▲265

    Hi HN! We're Lucas and Lucas from Briefer and we're building better notebooks. Our notebooks are kind of a mix between Notion and Jupyter with extra features, like the ability to schedule notebooks, turn them into dashboards and apps, and write SQL queries whose results turn into data frames automatically. We're building better notebooks because we think they're a great idea poorly executed - for three reasons. The first problem with notebooks is that they're difficult to share. Non-technical people don't want to download docker containers and install Python libraries to see what the data…

  • MW
    Mito – Write Python/Pandas faster by editing a spreadsheet, in Jupyter2021 · trymito.io · ▲101

    Mito is AI for your Jupyter Notebook workflow. Use the Jupyter Agent, SQL, Database Connections, and Streamlit Apps for EDA and automations.

  • KA
    Kyso – an easy way to share Jupyter notebooks2017 · ▲117

    Hi HN, We're the founders of https://kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https://kyso.io/laura/ for some examples. We really want to hear your feedback, let us know what you think!

  • Mercury – Publish Jupyter Notebook as web app by adding YAML header2022 · github.com · ▲61

    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)…

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