Software Alternatives, Accelerators & Startups

WhiteSource VS Jupyter

Compare WhiteSource VS Jupyter and see what are their differences

WhiteSource logo WhiteSource

Find & fix security and compliance issues in open source libraries in real-time.

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.
  • WhiteSource Landing page
    Landing page //
    2023-06-01

WhiteSource is the leading solution for agile open source security and license compliance management.

It integrates with your development environments and DevOps pipeline to detect open source libraries with security or compliance issues in real-time.

WhiteSource doesn’t only alert on issues, it also provides actionable, validated remediation paths to enable quick resolution and automated policy enforcement to speed up time-to-fix. It also helps you focus on what matters by prioritizing remediation based on whether your code is actually using a vulnerable method or not, and guaranteeing zero false positives.

We've got you covered with support for over 200 programming languages, and continuous tracking of multiple open source vulnerabilities databases including the NVD, security advisories, peer-reviewed vulnerability knowledge bases, and open source projects issue trackers.

  • Jupyter Landing page
    Landing page //
    2023-06-22

WhiteSource features and specs

  • WhiteSource Core: Integrate open source security and compliance testing into all stages of you SDLC
  • WhiteSource Priortize: Cut up to 85% of your security alerts based in the execution path
  • WhiteSource for Developers: Alert on issues in your developers' environment UI (browser, IDE, repos) and support a quicker remediation

Jupyter features and specs

No features have been listed yet.

WhiteSource videos

Webinar- Automating Open Source Security: A SANS Review of WhiteSource

More videos:

  • Demo - Use open source without compromising on security or agility

Jupyter videos

What is Jupyter Notebook?

More videos:

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

Category Popularity

0-100% (relative to WhiteSource and Jupyter)
Security
100 100%
0% 0
Data Science And Machine Learning
Security & Privacy
100 100%
0% 0
Data Dashboard
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 WhiteSource and Jupyter

WhiteSource Reviews

The Top 5 Open Source Vulnerability Scanners
WhiteSource identifies and prioritizes your open source security vulnerabilities. Vulcan can then integrate with WhiteSource to fix security findings across open source components.
Source: vulcan.io

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.
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.

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than WhiteSource. While we know about 206 links to Jupyter, we've tracked only 1 mention of WhiteSource. 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.

WhiteSource mentions (1)

  • Usage of opensource libraries
    Long term, you may want to include some Tool, like Whitesource in your CI. Do not consider this as an advertising, it is not. Source: almost 3 years ago

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 / 2 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
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What are some alternatives?

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

Pulse Secure - Pulse Secure provides a consolidated offering for access control, SSL VPN, and mobile device security. Contact Pulse Secure at 408-372-9600 to get a free demo.

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.

StackPath - Secure Content Delivery Network, DDoS, WAF Service

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

Flexera Software Vulnerability Manager - Flexera Software Vulnerability Manager provides solutions to continuously track, identify and remediate vulnerable applications.

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