Blobbackup
mercury
| Blobbackup | mercury | |
|---|---|---|
| 36 | 77 | |
| 279 | 3,779 | |
| -1.8% | 1.0% | |
| 4.4 | 8.5 | |
| 5 months ago | 16 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Blobbackup
- Introducing Blobbackup. Privacy-first, end-to-end encrypted cloud backups for your Mac and PC. Blazing fast restores, unlimited file history and fully open source. $9/month per computer.
- The most secure cloud backup for small businesses - Blobbackup
- Privacy-first, end-to-end encrypted cloud backups for your Mac and PC - Blobbackup
- Open source, end-to-end encrypted cloud backups for your Mac and PC - Blobbackup
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Two computers in one backup space
Hey, good question. I'll assume you're using the old Blobbackup (ie: https://github.com/Blobbackup/Blobbackup/tree/dev/original).
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how to automatically backup files on windows?
Use Blobbackup. It's a free tool that allows to backup data to local and network locations but also in a cloud. https://github.com/BlobBackup/BlobBackup.
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This Week in Python
blobbackup – A backup solution in Python
- Privacy-first minimalist computer backups
mercury
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Ask HN: What's the best charting library for customer-facing dashboards?
I'm build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook.
My favorite is Altair. It provides interactivity for charts, so you can move/zoom your plots and have tooltips. It is much lighter than Plotly after saving the notebook to ipynb file. Altair charts looks much better than in matplotlib. One drawback, that exporting to PDF doesn't work. To serve notebook as dashboard with code hidden, I use Mercury framework, you can check example https://runmercury.com/tutorials/vega-altair-dashboard/
disclaimer: I'm author of Mercury framework https://github.com/mljar/mercury
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mercury VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Web App with GUI for AutoML on Tabular Data
Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
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streamlit VS mercury - a user suggested alternative
2 projects | 8 Jul 2023
- GitHub - mljar/mercury: Convert Jupyter Notebooks to Web Apps
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[P] Opinionated Web Framework for Converting Jupyter Notebooks to Web Apps
The GitHub repository https://github.com/mljar/mercury
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Show HN: Opinionated Web Framework for Converting Jupyter Notebooks to Web Apps
We are working on open-source web framework Mercury that converts Python notebooks to Web Apps.
It is very opinionated:
- it has no callbacks - we automatically re-execute cells below updated widget
- it has no layout widgets, all input widgets are always in the left sidebar
Thanks to above decisions you don't need to change notebook's code to have web app and fit to the framework.
The simplicity of the framework is very important to us. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file.
The GitHub repository https://github.com/mljar/mercury
Documentation https://RunMercury.com/docs/
Mercury Cloud https://cloud.runmercury.com
- Show HN: Build Web Apps in Jupyter Notebook with Python Only
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
kopia - Cross-platform backup tool for Windows, macOS & Linux with fast, incremental backups, client-side end-to-end encryption, compression and data deduplication. CLI and GUI included.
streamlit - Streamlit — A faster way to build and share data apps.
cppcryptfs - cppcryptfs is an implementation of the gocryptfs encrypted overlay filesystem in C++ for Windows.
voila - Voilà turns Jupyter notebooks into standalone web applications
pip_search - Searching thought pip when hard times strike
papermill - 📚 Parameterize, execute, and analyze notebooks
gocryptfs - Encrypted overlay filesystem written in Go
voila-gridstack - Dashboard template for Voilà based on GridStackJS
my-backup-plan - How I back up all my data.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
benchmarking - A performance comparison of Duplicacy, restic, Attic, and duplicity
awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be