Chartbrew
Apache Superset
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Chartbrew | Apache Superset | |
---|---|---|
18 | 3 | |
2,245 | 34,745 | |
7.6% | - | |
9.7 | 9.9 | |
6 days ago | about 3 years ago | |
JavaScript | Python | |
MIT License | 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.
Chartbrew
- Chartbrew – create live reporting dashboards from APIs, MongoDB, Firestore, etc.
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Those making $500/month on side projects in 2023 – Show and tell
I'm working part-time on my project https://chartbrew.com
It's an open-source data visualization and reporting platform that I started in 2018, I abandoned in 2019, then resumed working on it more seriously in 2020.
Currently, the platform is doing $1,138 in MRR from then managed hosting service and has made over $11k in revenue so far. It's been growing steadily in the last few months but going through a rough Dec-Jan period at the moment. You can see the open page at https://chartbrew.com/open
Onwards and great job everyone at working to make side projects work for you!
- Show HN: Product analytics on your data warehouse
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Describing My Sandbox
Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data.
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Metabase VS Chartbrew - a user suggested alternative
2 projects | 26 Oct 2021
Chartbrew can fetch data from databases and other data sources. Then the user can create dashboards to visualize and explore this data as Metabase does it as well.
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Best Dashboard Advice
Lots of great mentions here. You can also check out Chartbrew. It's open-source and can be self-hosted for free. It doesn't have an open core, so all the features are available out of the box.
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Show HN: Open-Source multi-dashboarding platform for teams and client reporting
One use-case that the platform is being used for is for B2B SaaS businesses to offer their analytics through Chartbrew. So it is possible and there are people already using it like this.
Or if you're wondering if you can offer the analytics platform by itself as a SaaS, I built a SaaS layer on top of it here: https://chartbrew.com
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.
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
Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.