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TIMi Suite VS Jupyter

Compare TIMi Suite VS Jupyter and see what are their differences

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

TIMi Suite logo TIMi Suite

TIMi Suite is an integrated collection of data mining software that covers all analytics needs of different businesses in the insurance, banking, as well as telecommunication industries.

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.
  • TIMi Suite Landing page
    Landing page //
    2022-10-21
  • Jupyter Landing page
    Landing page //
    2023-06-22

TIMi Suite videos

No TIMi Suite videos yet. You could help us improve this page by suggesting one.

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Jupyter videos

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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 TIMi Suite and Jupyter)

TIMi Suite

Jupyter

Office & Productivity
100 100%
Office & Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
5 5%
Data Dashboard
95% 95

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TIMi Suite and Jupyter

TIMi Suite Reviews

25 Best Statistical Analysis Software
TiMi Suite is an all-inclusive collection of analytical tools specifically crafted for data mining, predictive analytics, and reporting purposes. These tools cater to the needs of professionals across a wide range of domains.
Source: www.scijournal.org
Top 10 Free Statistical Analysis Software 2023
2. TIMi Modeler automates model construction by selecting the best models based on performance measures and providing insights into model accuracy, stability, and interpretability.
Source: fellowshipbard.com

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

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.

TIMi Suite mentions (0)

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

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 / about 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 / about 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 / 3 months ago
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What are some alternatives?

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

IRI CoSort - IRI CoSort is a big data manipulation platform that helps organizations quickly process and analyze massive amounts of data for a faster time to gain insight on data-driven projects.

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.

EasyMorph - Self-service data transformation & automation for business

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

Omniscope Evo - Omniscope is a complete and extensible BI tool that automatically discovers and configures all your existing sources of data: databases, files, applications, and REST APIs.

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

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