pulsechain-testnet
datapane
| pulsechain-testnet | datapane | |
|---|---|---|
| 47 | 30 | |
| - | 1,349 | |
| - | 0.5% | |
| - | 7.3 | |
| - | 7 months ago | |
| Python | ||
| - | Apache License 2.0 |
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.
pulsechain-testnet
- The PulseChain team welcomes the development of 3rd-party explorers!
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Testnet v4 for pulsechain
Yes. Take a look at https://gitlab.com/pulsechaincom/pulsechain-testnet for information on setting it up in your Meta Mask if you're interested in trying it out.
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Snapshot / Fork Timing
Source: https://gitlab.com/pulsechaincom/pulsechain-testnet/-/blob/master/README.md
- How do you add the pulsechain v3 testnet to metamask?
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Can you help me with this Pulsechain API?
Pulsechain testnet Gitlab is https://gitlab.com/pulsechaincom/pulsechain-testnet.
- Best or Weirdest - PulseChain people are speaking their mind on this BULL TRASH
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Devs got this now that there’s no more delegated proof of stake for Pulsechain 😎
All of the most recent updates are issues that were opened with no answer. The most recent activity 2 weeks ago was a user opening, closing and opening (issue #262)[https://gitlab.com/pulsechaincom/pulsechain-testnet/-/issues/262] with no answer. Prior to that, 3 weeks ago a user opened (issue #11)[https://gitlab.com/pulsechaincom/pls-faucet/-/issues/11] which has gone unanswered. Prior to that, 4 weeks ago opened (issue #261)[https://gitlab.com/pulsechaincom/pulsechain-testnet/-/issues/261], which has also gone unanswered.
- What are peoples thoughts on the Pulsechain timeline?
- my metamask cannot connect to pulsechain tesnet
- The vector attack mentioned by RH - thoughts ?
datapane
- Datapane: Build and share data reports in 100% Python
-
Polars: Company Formation Announcement
If you're looking for an easy way to build an HTML report using Python, you might find Datapane (https://github.com/datapane/datapane) helpful. I'm one of the people building it! We don't support polars (yet, on the roadmap) but we do support pandas so you can convert to a pandas DataFrame and include your data and any plots, etc.
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JupyterLab 4.0
If you're interested in an easier way to create reports using Python and Plotly/Pandas, you should check out our open-source library, Datapane: https://github.com/datapane/datapane - you can create a standalone, redistributable HTML file in a few lines of Python.
-
Evidence – Business Intelligence as Code
You might be interested in what we're hacking on at Datapane (I'm one of the founders): https://github.com/datapane/datapane.
You can create standalone HTML data reports from Python/Jupyter in ~3 lines of code: https://docs.datapane.com/reports/overview/
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
You can build web apps from Jupyter using Datapane [0]. I'm one of the founders, so let me know if I can help at all.
You can either export a static site [1] (and host on GH pages or S3), or, if you need backend logic, you can add Python functions [2] and serve on your favourite host (we use Fly).
We have specific Jupyter integration to automatically convert your notebook into an app [3].
[0] https://github.com/datapane/datapane
[1] https://docs.datapane.com/reference/reports/#datapane.proces...
[2] https://docs.datapane.com/apps/overview/
[3] https://docs.datapane.com/reports/jupyter-integration/#conve...
- Datapane – Build full-stack data apps in 100% Python
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Datapane - Build full-stack data apps in 100% Python
Our GitHub is https://github.com/datapane/datapane and you can get started here: https://docs.datapane.com/quickstart/
- Datapane: Build internal analytics products in minutes using Python
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Datapane - Build internal data products in 100% Python
Thanks a lot! Yes, absolutely, a few people have brought this up and working working on removing the header right now. If I can help at all, feel free to reach us on GH Discussions: https://github.com/datapane/datapane/discussions
- Datapane/datapane: Build full-stack data analytics apps in Python
What are some alternatives?
sourcegraph - Code AI platform with Code Search & Cody
streamlit - Streamlit — A faster way to build and share data apps.
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
dash - Data Apps & Dashboards for Python. No JavaScript Required.
Fleet - Open-source platform for IT, security, and infrastructure teams. (Linux, macOS, Chrome, Windows, cloud, data center)
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!