Software Alternatives, Accelerators & Startups

TabNine VS NumPy

Compare TabNine VS NumPy and see what are their differences

TabNine logo TabNine

TabNine is the all-language autocompleter. We use deep learning to help you write code faster.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • TabNine Landing page
    Landing page //
    2023-09-19
  • NumPy Landing page
    Landing page //
    2023-05-13

TabNine videos

How effective is TabNine? | TabNine Tutorial & Demo

More videos:

  • Review - AI Based Code Auto Completion Tool for SublimeText | VSCode | TabNine
  • Review - Deep TabNine : A Powerful AI Code Autocompleter For Developer || Must Watch

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to TabNine and NumPy)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TabNine and NumPy

TabNine Reviews

Top 31 ChatGPT alternatives that will blow your mind in 2023 (Free & Paid)
Tabnine strictly adheres to open-source licensing and keeps your code from any potential plagiarism or copyright infringement. With Tabnine Pro, you can further customize your experience with a private AI model that can be trained to fit your personal coding style and patterns.
Source: writesonic.com
3 alternatives to GitHub Copilot to keep an eye out for
Tabnine (once known as Codota) was one of the first code completion tools to hit the market. In your favorite IDEs, the Tabnine code completion plugin supports all of the most popular languages, libraries, and frameworks. Tabnine AI models are only trained on permissive open-source licensed code, ensuring your code remains yours.
Top 10 GitHub Copilot Alternatives
Tabnine was one of the earliest code completion programs to hit the market (once known as Codota). In your preferred IDEs, the Tabnine code completion plugin supports all of the most popular languages, libraries, and frameworks.
Source: hashdork.com
Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)
One of the first code completion tools on the market is Tabnine (once known as Codota). Tabnine code completion plugin supports all the most popular languages, libraries, and frameworks in your favorite IDEs. Tabnine AI models are only trained on permissive open source licensed code, so your code will always remain yours.
Source: www.tabnine.com
Tabnine vs Kite 2021: best AI-Powered Auto-Completion tool?
Kite saves the memory f your computer which means it uses very little memory. If we compare the memory usage analysis of both Kite and TabNine we will come to know that TabNine requires almost 4Gb memory for a project of 10-line code. Whereas kite uses only 550 Mb memory for the same project. It implies that Kite uses almost 85% less memory.
Source: ssiddique.info

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than TabNine. While we know about 112 links to NumPy, we've tracked only 3 mentions of TabNine. 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.

TabNine mentions (3)

  • 5 Free AI Coding Copilots to Help You Fly Out of the Dev Blackhole
    This is the repository for the backend of TabNine, the all-language autocompleter There are no source files here because the backend is closed source. - Source: dev.to / 17 days ago
  • The Complete API Security Checklist
    As applications grow in value to the end user so do they grow in complexity. Developers are pressured to increase productivity. Startups like Tabnine and Raycast have had impressive funding rounds recently, indicating how important developer productivity has become. With this pressure to perform, developers don't have the time to test each API connection for vulnerabilities or perform periodical penetration... - Source: dev.to / over 2 years ago
  • 42 Companies using Rust in production
    We also use rust to build Tabnine! (see https://tabnine.com). Source: about 3 years ago

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 20 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 21 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 26 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 28 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing TabNine and NumPy, you can also consider the following products

GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

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

Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.

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

Codeium - Free AI-powered code completion for *everyone*, *everywhere*

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.