Chartbrew
Metabase
Evidence.dev
Blazer
Chartio
Flask JSONDash
Tableau
Battery Health
Jupyter
Databricks
Looker
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embeddable charts, query & requests editor, and team capabilities.
Chartbrew can be self-hosted for free or used as a managed service at chartbrew.com.
Charbrew integrations (head over to the website for an up-to-date list)
MySQL PostgreSQL MongoDB Firestore Firebase Realtime Database Custom REST API Google Analytics Customer.io
Some of Chartbrew's features
Chartbrew JupyterBased on our record, Jupyter seems to be a lot more popular than Chartbrew. While we know about 206 links to Jupyter, we've tracked only 10 mentions of Chartbrew. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Congrats on the release! How does it compare to https://chartbrew.com ? - Source: Hacker News / 13 days ago
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... - Source: Hacker News / over 1 year ago
Is it similar to https://chartbrew.com ? - Source: Hacker News / over 1 year ago
Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data. - Source: dev.to / over 1 year ago
I did the same thing with Google Firebase for my herb garden! Also, if you want to chart data, Chartbrew is a great tool. I plan on doing this with a hanging drip wall as soon as my area has spring plants to buy! Source: over 2 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 21 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 1 month ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Evidence.dev - Evidence enables analysts to build a trusted, version-controlled reporting system by writing SQL and markdown. Evidence reports are publication-quality, highly customizable, and fit for human consumption.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Blazer - Open source business intelligence tool.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
