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CodeClimate VS Tibco Data Science

Compare CodeClimate VS Tibco Data Science and see what are their differences

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

CodeClimate logo 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.

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
  • CodeClimate Landing page
    Landing page //
    2023-10-04
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

CodeClimate videos

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SaaS Chat: SaaSTV, the Affordable Care Act website, CodeClimate for code reviews

Tibco Data Science videos

No Tibco Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to CodeClimate and Tibco Data Science)

CodeClimate

Tibco Data Science

Code Coverage
100 100%
Code Coverage
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Code Analysis
100 100%
Code Analysis
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using CodeClimate and Tibco Data Science. 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 CodeClimate and Tibco Data Science

CodeClimate Reviews

11 Interesting Tools for Auditing and Managing Code Quality
Code Climate is an analytics tool that is extremely useful for an organization that emphasizes quality. Code Climate offers two different products:
Source: geekflare.com

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
Source: www.datamation.com
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, CodeClimate seems to be more popular. It has been mentiond 11 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.

CodeClimate mentions (11)

  • free-for.dev
    Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago
  • How To Use Code Climate To Improve Software Quality
    Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: about 2 years ago
  • RFC: A Full-stack Analytics Platform Architecture
    Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 2 years ago
  • Adding coverage to CI pipeline?
    The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago
  • Node.js best practices list (July 2021)
    TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago
View more

Tibco Data Science mentions (0)

We have not tracked any mentions of Tibco Data Science yet. Tracking of Tibco Data Science recommendations started around Mar 2021.

What are some alternatives?

When comparing CodeClimate and Tibco Data Science, 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.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

ESLint - The fully pluggable JavaScript code quality tool

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.

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