Software Alternatives, Accelerators & Startups

Pandas VS GitLab

Compare Pandas VS GitLab and see what are their differences

Pandas logo Pandas

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

GitLab logo GitLab

Create, review and deploy code together with GitLab open source git repo management software | GitLab
  • Pandas Landing page
    Landing page //
    2023-05-12
  • GitLab Landing page
    Landing page //
    2023-10-17

GitLab

$ Details
-
Release Date
2014 January
Startup details
Country
United States
State
California
Founder(s)
Dmitriy Zaporozhets
Employees
1,000 - 1,999

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

GitLab videos

Introduction to GitLab Workflow

More videos:

  • Review - GitLab Review App Working Session

Category Popularity

0-100% (relative to Pandas and GitLab)
Data Science And Machine Learning
Code Collaboration
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Git
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 Pandas and GitLab

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

GitLab Reviews

  1. perfect for Freelancers!

The Top 10 GitHub Alternatives
GitLab is a web-based DevSecOps (take that, Call of Duty) platform that allows software development teams to plan, build, and ship secure code all in one application. GitLab offers a range of features and tools to support the entire software development lifecycle, from project planning and source code management to continuous integration, delivery, and deployment.
The Best Alternatives to Jenkins for Developers
CI/CD GitLab, as a complete DevOps platform, provides an integrated CI/CD solution along with its other features. If your team is already using GitLab for controlling versions and managing projects, the addition of GitLab CI/CD can be very smooth. The offering in CI/CD by GitLab is quite customizable and it backs up many programming languages as well as application test...
Source: morninglif.com
Top 7 GitHub Alternatives You Should Know (2024)
Most of the listed alternatives offer free tier plans for individuals or small teams. Tools like GitLab and Bitbucket allow users to host unlimited repositories without cost.
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
While GitLab features an extensive set of capabilities, this can also serve as a weakness since beginners may find the developer tool overwhelming to begin with. The user interface compounds this issue by being outdated and unintuitive. GitLab could benefit from more third-party integrations, and its performance tends to struggle when dealing with large repositories or CI/CD...
Let's Make Sure Github Doesn't Become the only Option
The Pull Request workflow is so dominant now that it’s considered the default path for code to permanently enter into a repository. You can see a similar features in GitHub’s smaller competition Codeberg, GitLab, BitBucket, and Gitea. These competitors don’t offer other, major code collaboration tools, and their Pull Request-like features aren’t just there to help users come...

Social recommendations and mentions

Based on our record, Pandas should be more popular than GitLab. It has been mentiond 201 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.

Pandas mentions (201)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 21 days ago
  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 27 days ago
  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 3 months ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
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GitLab mentions (114)

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What are some alternatives?

When comparing Pandas and GitLab, you can also consider the following products

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

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

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

Gitea - A painless self-hosted Git service