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npm VS Dataiku

Compare npm VS Dataiku and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. sponsored
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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

npm logo npm

npm is a package manager for Node.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • npm Landing page
    Landing page //
    2023-10-03
  • Dataiku Landing page
    Landing page //
    2023-08-17

npm features and specs

  • Large Ecosystem
    npm boasts an extensive library of packages, making it easier for developers to find existing solutions for a wide array of tasks.
  • Active Community
    A vibrant and active community ensures continuous updates, support, and improvements for various packages.
  • Integration with Node.js
    Seamless integration with Node.js, which makes it the default package manager for Node.js projects.
  • Version Control
    Provides robust version control, enabling developers to specify and manage dependencies precisely.
  • Scripts
    Allows automation of tasks through custom scripts defined in the package.json file, enhancing development workflow.

Possible disadvantages of npm

  • Security Issues
    The open nature can potentially lead to dependency on unvetted or insecure packages, posing security risks.
  • Deprecation and Abandonment
    Packages may be deprecated or abandoned by their maintainers, which can disrupt projects that depend on them.
  • Complex Dependency Management
    Managing complex dependencies and resolving conflicts between them can sometimes be challenging and time-consuming.
  • Performance Overhead
    The sheer size of the node_modules directory can lead to performance overhead and large project sizes.
  • Quality Variability
    The quality of packages on npm can vary widely, with some lacking sufficient documentation or tests.

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Analysis of npm

Overall verdict

  • npm is generally considered good, especially for developers working within the Node.js ecosystem. It simplifies package management, supports extensive version control, and fosters a collaborative environment through its community-driven platform.

Why this product is good

  • npm (Node Package Manager) is a crucial tool for JavaScript developers. It allows for easy installation, management, and sharing of packages, which can significantly accelerate development time. With a vast repository of open-source libraries, npm provides solutions for countless tasks, reducing the need to build everything from scratch.

Recommended for

  • JavaScript developers
  • Node.js developers
  • Front-end developers using modern JavaScript frameworks
  • Back-end developers building scalable applications

npm videos

+ Add

Artis bus NPM Mr marcha sopir ny ramah,Review detail bus baru yang berangkat dari Payakumbuh~Jakarta

More videos:

  • Review - Review bus baru NPM,, V15 Mr marcha ft kru kece,, berangkat Payakumbuh menuju Jakarta
  • Review - Analysis of an Exploited NPM Package || Jarrod Overson

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to npm and Dataiku)

npm

Dataiku

Front End Package Manager
100 100%
Front End Package Manager
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
JS Build Tools
100 100%
JS Build Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using npm and Dataiku. 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 npm and Dataiku

npm Reviews

Repository Management Tools
There are three components to npm, they are the website, registry and the cli. The npm website is the place where developers discover packages, set up their profiles and also manage the other aspects of npm. The npm registry is the huge database that contains all the dependencies and stuff whereas the npm cli is the one that is used by most of the developers to interact with...
Source: mindmajix.com
What is Artifactory?
All packages are organized so that you can keep track of all of the dependencies and their various versions. The registry, website, and command-line interface, or CLI, are the three components of npm. The npm website is where developers can find packages, create profiles, and manage other elements of the npm project. The npm registry is an extensive database that holds all...
Source: blog.packagecloud.io

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, npm seems to be more popular. It has been mentiond 71 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.

npm mentions (71)

  • I pointed my link checker at 20 popular docs sites. It accused nearly all of them, and it was wrong.
    FAIL --- https://vite.new/ -> fetch failed FAIL 403 https://npmjs.com/ -> blocked (403) FAIL --- https://webflow.com/feature/cloud -> fetch failed. - Source: dev.to / 28 days ago
  • Yrkit: A dev environment that runs on your phone – deploy included
    Yr on npm: https://npmjs.com/@yr-lang/yr This is the first time that I am showing this, I have been using it myself and built everything alone. I would love some feedback and tips, and if you would like to be an early adopter, I will be glad to work with you! - Source: Hacker News / 4 months ago
  • The virtuous circle
    I started thinking about the idea for npmx late one night (I couldn't sleep, and spotted a Slack message that nerd-sniped me). I posted on Bluesky to ask for people's wishlist for https://npmjs.com – and started building npmx almost immediately. By the next day, I had an MVP. - Source: dev.to / 6 months ago
  • Some thoughts on personal Git hosting
    > But we still don't have a solution to search projects on potentially thousands of servers, including self-hosted ones. We do. https://mvnrepository.com/repos/central https://npmjs.com https://packagist.org/ https://pypi.org/ https://www.debian.org/distrib/packages#search_packages https://pkg.go.dev/ https://elpa.gnu.org/packages/ And many others. And we still have forums like this one and Reddit where... - Source: Hacker News / 12 months ago
  • Protecting Yourself from Spear Phishing Attacks Such as the One Targeting NPM Maintainers with 2FA Update
    A rather official looking message was sent to maintainers of packages hosted on npmjs.com that they were overdue for a two-factor update. - Source: dev.to / 12 months ago
View more

Dataiku mentions (0)

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

What are some alternatives?

When comparing npm and Dataiku, you can also consider the following products

Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Ender - Frontend Development

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

NumPy - NumPy is the fundamental package for scientific computing with Python

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