Apache Superset
Countly
Our great sponsors
| Apache Superset | Countly | |
|---|---|---|
| 3 | 13 | |
| 34,745 | 5,449 | |
| - | 0.5% | |
| 9.9 | 9.9 | |
| about 3 years ago | 6 days ago | |
| Python | JavaScript | |
| 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.
Apache Superset
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Open-source BI platforms such as Metabase (website, GitHub) and Apache SuperSet (website, GitHub) are easy to deploy without IT involvement. Metabase lets you build dashboards from the data in your warehouse easily, with no SQL, or, if you have data engineering or science know-how, inside more powerful and flexible notebooks or with SQL itself. Similarly, Apache SuperSet helps businesses explore and visualize data from simple line charts to detailed geospatial charts.
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Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
Check out Superset. https://github.com/apache/incubator-superset
It’s modern, easy to extend. From the same author of apache airflow.
Countly
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I built an open source Google Analytics alternative (free as in freedom and privacy-first, too!)
Happy cake day. Yeah, nowadays there are so many analytics variants out there: Swetrix, Plausible, offen, count.ly any many more.
- Integration/extension/plugin system in Nodejs
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Self Hostable Open Source Alternatives to Commercial products
Countly (https://github.com/Countly/countly-server)
- Ask HN: Good open source alternatives to Google Analytics?
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Ask HN: Best alternatives to Google Analytics in 2021?
Always surprised more people don’t use countly. Runs nice in docker or digital ocean. https://count.ly. Been self hosting it for years with few issues.
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Countly (website, GitHub) is also an open-source product analytics platform that is designed primarily for marketing organizations. It helps marketers track website information (website transactions, campaigns, and sources that led visitors to the website, etc.). Countly also collects real-time mobile analytics metrics like active users, time spent in-app, customer location, etc., in a unified view on your dashboard.
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What services (if any) are you using for analytics and push notifications in 2021?
Countly
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Firebase Analytics Alternative for Kid's Category iOS App
Depending on the server resources at your disposal, you could roll out your own installation of the Countly server together with its iOS SDK. That way you are not using a third party solution for analytics so you are not breaking the rules while still obtaining analytics data.
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
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.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
grafanalib - Python library for building Grafana dashboards
bokeh - Interactive Data Visualization in the browser, from Python
matplotlib - matplotlib: plotting with Python
folium - Python Data. Leaflet.js Maps.
seaborn - Statistical data visualization in Python
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.