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Jupyter VS TestRail

Compare Jupyter VS TestRail and see what are their differences

Smartsheet
Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Jupyter logo 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.

TestRail logo TestRail

TestRail provides comprehensive test case management for software testing. Organize your testing, boost productivity, get real-time insights, and track progress toward milestones. Integrates with leading issue tracking and test automation tools.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • TestRail Landing page
    Landing page //
    2023-04-27

TestRail’s web-based test case management is used by thousands of great QA and Development teams to efficiently organize, track and manage software testing.

Features

  • Coordinate functional, exploratory and automated testing
  • Document your test cases with preconditions, steps, and expected results; attach files and screenshots, and customize fields according to your needs.
  • Organize test cases in suites and section hierarchies.
  • Save test case history to track changes; set baselines for multiple branches and versions as needed.
  • Start test runs, select test cases based on powerful filters.
  • Boost productivity with personalized to-do lists, filters, and email notifications.
  • Capture results of testing in real time.
  • Record estimates and elapsed times for accurate time tracking. Compare to historical data. Forecast completion dates and remaining effort.
  • Archive test results to protect against modification and support auditing.
  • Choose between our SaaS solution hosted on our fast and secure servers; or install on your own server.
  • Integrates with Jira, FogBugz, Bugzilla, Assembla, TFS, GitHub, Ranorex Studio, and many other tools.

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

TestRail videos

+ Add

Starting to Test with TestRail

More videos:

  • Review - AgileTestWare Continuous Testing with TestRail
  • Review - TestRail Review ( Roblox Sydney Trains #3 )

Category Popularity

0-100% (relative to Jupyter and TestRail)

Jupyter

TestRail

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Software Testing
0 0%
Software Testing
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
QA
0 0%
QA
100% 100

User comments

Share your experience with using Jupyter and TestRail. 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 Jupyter and TestRail

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

TestRail Reviews

We have no reviews of TestRail yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 206 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.

Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
  • scrape-yahoo-finance
    JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 2 months ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 months ago
  • Scrape Redfin Property Data
    Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
View more

TestRail mentions (0)

We have not tracked any mentions of TestRail yet. Tracking of TestRail recommendations started around Mar 2021.

What are some alternatives?

When comparing Jupyter and TestRail, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

PractiTest - PractiTest is a cloud based Innovative test management tool.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Qase - Test case management software for QA and development teams that helps you make your product better.

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