Budibase
Retool
ToolJet
Appsmith
Bubble.io
Airtable
NocoDB
PocketBlocks
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Open source, and designed for rapid development, Budibase is the new and better way to build, host and manage applications.
Benefits: Reduce development times by up to 70% No more repetitive coding Flexibility to choose your own UI Secure hosting A platform to manage your app A platform for managing and growing your customer base A reporting interface for quick analysis A marketplace UI builder
When you need to build, launch and grow your web application, and escape the 9-5, Budibase has you covered.
Join thousands of makers, startups and developers, like yourself, and signup for early access.
Budibase Scikit-learnBased on our record, Budibase should be more popular than Scikit-learn. It has been mentiond 59 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.
Budibase is great at generating CRUD apps based on a model. https://budibase.com/. - Source: Hacker News / 5 months 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 / 6 months ago
I skipped to chapter 9 in the article ("Clogged"), and it looked like Pipes failed because it didn't have a large enough team or a well-defined mission. As a result they couldn't offer a super robust product that would lure in enterprise users. "You could not purchase some number of guaranteed-to-work Pipes calls per month" is the quote from the article. The reason I think that interesting is because that's the... - Source: Hacker News / 7 months ago
I'm the co-founder of Budibase and we've spent the last 5 years building what we believe is a better, faster, open source replacement for VB. Check it out: [1] https://budibase.com. - Source: Hacker News / 10 months ago
Budibase looks really impressive, basically a GUI frontend builder for postgres and its open source. Haven't actually deployed it, but played with the GUI builder and its nice. There's a few other similar ones out there too like Baserow [2], Appsmith [3] and nocodb [4]. Finally, if you wanted a step up, then I guess supabase [5] would be the next one up but its more like "I just want to write front end and have... - Source: Hacker News / 10 months ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 22 days ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year 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.
ToolJet - Open-source alternative for Retool
OpenCV - OpenCV is the world's biggest computer vision library
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
