Budibase
Retool
Appsmith
ToolJet
Bubble.io
NocoDB
Airtable
Webflow
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
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Budibase
MatplotlibBased on our record, Matplotlib should be more popular than Budibase. It has been mentiond 114 times since March 2021. 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.
GitHub Https://github.com/Budibase/budibase Website Https://budibase.com/ License GPL-v3 Stars 27.4k Forks 2k Issues 294 Pull Requests 12 Contributors 112 Last updated Updated today Documentation Https://docs.budibase.com/docs/quickstart-budibase-ai. - Source: dev.to / 8 months ago
Many providers such as Directus, Appsmith, or Budibase all have ways to fully customize the viewing and editing experience of each field. - Source: dev.to / over 1 year ago
It is possible to speed up the development and delivery process for many internal applications by using no-code or low code tools. These vary in offerings from open source to SaaS, including popular ones like AirTable, BudiBase, Retool, NocoDB and others. These can all greatly help speed up delivery times. - Source: dev.to / over 1 year ago
Budibase is great at generating CRUD apps based on a model. https://budibase.com/. - Source: Hacker News / over 2 years ago
I keep a list of them, I think I originally got most of these from https://news.ycombinator.com/item?id=33592990 (not OSS) * OpenBlocks - https://github.com/openblocks-dev/openblocks * Interval - https://interval.com/ * Bracket - https://www.usebracket.com/ * Budibase - https://budibase.com/ * AppSmith - https://www.appsmith.com/ * ToolJet - https://www.tooljet.com/ I only have direct experience with AppSmith. - Source: Hacker News / over 2 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Retool - Build custom internal tools in minutes.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Appsmith - Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.
NumPy - NumPy is the fundamental package for scientific computing with Python
ToolJet - Open-source alternative for Retool
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.