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Codacy VS Datalore

Compare Codacy VS Datalore and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Codacy logo Codacy

Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Datalore logo Datalore

Datalore is an interactive web-based workbook for data analysis, scientific exploration and visualization in Python.
  • Codacy Landing page
    Landing page //
    2023-08-27

Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.

  • Datalore Landing page
    Landing page //
    2022-12-17

Codacy videos

+ Add

Using Codacy for automated code reviews

More videos:

Datalore videos

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Star Trek: TNG Review - 1x13 Datalore | Reverse Angle

More videos:

  • Tutorial - Getting started with Datalore: online Jupyter notebook tutorial
  • Tutorial - Visualization Tutorial With Pyplot in Datalore by JetBrains

Category Popularity

0-100% (relative to Codacy and Datalore)

Codacy

Datalore

Code Coverage
100 100%
Code Coverage
0% 0
Machine Learning
0 0%
Machine Learning
100% 100
Code Analysis
100 100%
Code Analysis
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

Share your experience with using Codacy and Datalore. For example, how are they different and which one is better?
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Reviews

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

Codacy Reviews

Ten Best SonarQube alternatives in 2021
Codacy automates code opinions and monitors code quality on each sprint. The main issues it covers concern code style, best practices, and security. In addition, it monitors adjustments in code insurance, code duplication, and code complexity. She was saving developers time in code opinions, consequently successfully tackling technical debt. JavaScript, Java, Ruby, Scala,...
Source: duecode.io

Datalore Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
One of JetBrains Datalore’s advantages is its interaction with the JetBrains ecosystem of tools, which includes IDEs like PyCharm and IntelliJ. That’s also why the tool is primarily aimed at ecosystem users.
Source: lakefs.io
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
JetBrains Datalore is a cloud-based data science platform that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and SQL, and provides access to powerful hardware resources, including GPUs. One of the main advantages of JetBrains Datalore is its...
Source: noteable.io

Social recommendations and mentions

Based on our record, Datalore should be more popular than Codacy. It has been mentiond 10 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.

Codacy mentions (4)

  • What is the best way to set a cookie (without setcookie?)
    I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 2 years ago
  • Converting vstest coverage files in github actions?
    Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: almost 3 years ago
  • PHP Static Analysis Tools Review
    Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / about 3 years ago
  • Top 10 ways to perform fast code reviews
    Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / about 3 years ago

Datalore mentions (10)

  • Plotting Financial Data in Kotlin with Kandy
    For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data... - Source: dev.to / 2 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Datalore - Python notebooks by Jetbrains. Includes 10 GB of storage and 120 hours of runtime each month. - Source: dev.to / 4 months ago
  • Best online course to actually learn to use Python
    Last 1/3 of course sections: More of the same really, thought I had sections where I had to install earlier iterations of Python due to incompatible libraries in some of the course sections. As ever, student comments & furious Stack Overflow searches were helpful. Also, Jupyter notebooks are introduced in this part of the course. As I'm using the Community Edition of Pycharm for the course AND the free versions... Source: over 1 year ago
  • A new take on a Jupyter interface
    - Do you know about https://datalore.jetbrains.com/? They seem to have this cool thing where you can rewind the state of the notebook using CRIU. I don't know how well this works in practice but I think it could help with experiment management, debugging and getting code to production. Source: almost 2 years ago
  • New Jupyter Notebook competition
    Have you looked at Datalore, https://datalore.jetbrains.com/. Source: about 2 years ago
View more

What are some alternatives?

When comparing Codacy and Datalore, you can also consider the following products

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

Colaboratory - Free Jupyter notebook environment in the cloud.

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

CodeFactor.io - Automated Code Review for GitHub & BitBucket

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

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