objectiv-analytics
datapane
Our great sponsors
| objectiv-analytics | datapane | |
|---|---|---|
| 22 | 30 | |
| 469 | 1,349 | |
| - | 0.4% | |
| 0.0 | 7.3 | |
| over 1 year ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
objectiv-analytics
- Get tools to test, validate and debug your tracking instrumentation → Set up error-free user behavior tracking → No more missing/faulty data downstream.
- Open your python notebook → Work directly on super-structured raw data that's designed for modeling → Build analytics models without data prepwork.
- Open your python notebook → Take pre-built analytics models (or build your own) → Turn them into SQL with one command → Build BI dashboards in minutes.
- Run product analytics from your notebook with full control over data & models.
- Powerful product analytics for data teams. Objectiv is a data collection & modeling platform. Built for data teams to run product analytics from their notebooks with full control over data and models.
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Open-source data collection & modeling platform for product analytics
Hope you like it. Check out the project on GitHub, and please do give us a star so others can find us too! https://github.com/objectiv/objectiv-analytics
- The complete toolkit for product analytics modeling. Notebook-native, open-source and free to use.
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A community developing a Hugging Face for customer data modeling
One of the creators of Objectiv here. Would like to get your opinion on our community-driven open-source project, which aims to do for customer data modeling what Hugging Face did for NLP: https://github.com/objectiv/objectiv-analytics
- Objectiv is ready-to-use infrastructure for advanced product analytics
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
What are some alternatives?
zillion - Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
streamlit - Streamlit — A faster way to build and share data apps.
pandas-paddles - Simple, composable column selector for loc[], iloc[], assign() and others.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
pandera - A light-weight, flexible, and expressive statistical data testing library
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
logos-shift-client - Replace expensive LLM calls with finetunes automatically
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
data-diff - Compare tables within or across databases
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Restaurant-Monitoring-System - Backend system for restaurant management
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!