datapane
PostHog
Our great sponsors
datapane | PostHog | |
---|---|---|
30 | 99 | |
1,349 | 17,172 | |
0.4% | 8.0% | |
7.3 | 10.0 | |
7 months ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
datapane
- Datapane: Build and share data reports in 100% Python
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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.
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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
PostHog
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How Telemetry Saved my Open-Source Platform
It would be a shame not to mention PostHog as the telemetry provider we are using, since it turned out to be extremely useful. Because it is hard to find people who will talk with you about your product, gathering statistics gave us a much greater insight into our users.
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Free tools for developers to build their apps
6- PostHog
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Using Analytics on My Website
Hi HN, PostHog employee here. I'm working on our Web Analytics product, which is currently in beta. It's fun to see us mentioned here :)
I should mention that we have a ton of SDKs (see https://posthog.com/docs/libraries) for back end frameworks and languages, so if you wanted to use PostHog without any client-side JS you could send pageviews and other events manually, but for the vast majority of people it makes more sense to use our JS snippet.
Hijacking this comment to share the roadmap for web analytics https://github.com/PostHog/posthog/issues/18547. It's very much in the launch-early-and-be-embarassed phase, but I would love to hear any feedback or suggestions that people have, particularly if you're already a PostHog user.
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Show HN: Flywheel
how's this different than https://posthog.com/ ?
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Open Source alternatives to tools you Pay for
PostHog - Open Source Alternative to Mixpanel
- Show HN: Monitor your webapp with minimal setup
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Ask HN: Where to Store Logs?
Don't insert the logs/events/analytics into your Application DB. Usually, you send those to specialist datastores (OLAP etc) that process such high volume of data. You can use something like clickhouse [0] for example or use 3rd party SAAS solutions like posthog [1] etc that are built on top of clickhouse
[0] https://clickhouse.com
[1] https://posthog.com
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Ask HN: What would you use to build a mostly CRUD back end today?
I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.
Now...
Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?
- [0]: https://flask.palletsprojects.com
- [1]: https://flask-admin.readthedocs.io/en/latest
- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery
- [3]: https://sentry.io
- [4]: https://posthog.com
- [5]: https://www.docker.com
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Ask HN: Who is hiring? (July 2023)
PostHog | Remote (US/Europe timezones) | Full stack engineer, technical ex-founder, tech lead | https://posthog.com
PostHog is the only open-source Product OS, combining product analytics, session recordings, feature flags, cdp and a data warehouse in one.
We have a culture of written async communication (see our handbook [0]), lots of individual responsibility and an opportunity to make a huge impact. Being fully remote means we're able to create a team that is truly diverse. We're based all over the world, and the team includes former YC founders, CTOs turned developers and recent grads.
To apply see https://posthog.com/careers or email us [email protected]
[0] https://posthog.com/handbook/
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planetsin.space -- a PI management and reminder tool
There seems to be posthog.com analytics and AB or feature flag functionality that is blocked by adblockers. Probably that?
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
dash - Data Apps & Dashboards for Python. No JavaScript Required.
Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
Sentry - Developer-first error tracking and performance monitoring
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
openreplay - Session replay and analytics tool you can self-host. Ideal for reproducing issues, co-browsing with users and optimizing your product.