Software Alternatives, Accelerators & Startups

Anvil.works VS Scikit-learn

Compare Anvil.works VS Scikit-learn and see what are their differences

Anvil.works logo Anvil.works

Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Anvil.works Landing page
    Landing page //
    2022-03-23

Anvil is a powerful online platform that lets you build web applications with nothing but Python. It comes with two-click deployment, built-in user authentication, easy-to-use databases and loads more!

Learn all about Anvil in 80 seconds: https://youtu.be/3V-3g1mQ5GY

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Anvil.works videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Anvil.works and Scikit-learn)
Developer Tools
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Data Science And Machine Learning
Productivity
100 100%
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Data Science Tools
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Anvil.works and Scikit-learn

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Anvil.works should be more popular than Scikit-learn. It has been mentiond 95 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.

Anvil.works mentions (95)

  • Ask HN: Who is hiring? (July 2024)
    Anvil (https://anvil.works) | Developer Advocate | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide a GUI framework!) We’re... - Source: Hacker News / 5 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Anvil.works - Web app development with nothing but Python. Free tier with unlimited apps and 30-second timeouts. - Source: dev.to / 5 months ago
  • Ask HN: Who is hiring? (February 2024)
    Anvil (https://anvil.works) | Senior Developer | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide our own GUI framework!) We’re... - Source: Hacker News / 5 months ago
  • The IDEs we had 30 years ago and we lost
    Have a look at https://anvil.works. - Source: Hacker News / 6 months ago
  • Ask HN: What low code platforms are worth using?
    The problem with low-code platform is that you are always restricted and can't go beyond what they offer. And someday, you will run across a problem that you can never solve with that platform. But there is a better way to do it. In my experience Anvil is the fastest way to develop a web apps. It is a framework that lets you do everything including Frontend, Backend and Database using just Python. I started using... - Source: Hacker News / 10 months ago
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Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    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
  • Link Prediction With node2vec in Physics Collaboration Network
    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
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    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
  • PSA: You don't need fancy stuff to do good work.
    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
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What are some alternatives?

When comparing Anvil.works and Scikit-learn, you can also consider the following products

Unity - The multiplatform game creation tools for everyone.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.

OpenCV - OpenCV is the world's biggest computer vision library

Blender - Blender is the open source, cross platform suite of tools for 3D creation.

NumPy - NumPy is the fundamental package for scientific computing with Python