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Dataiku VS Dash for macOS

Compare Dataiku VS Dash for macOS and see what are their differences

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Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Dash for macOS logo Dash for macOS

Dash is an API Documentation Browser and Code Snippet Manager. Dash searches offline documentation of 200+ APIs and stores snippets of code. You can also generate your own documentation sets.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Dash for macOS Landing page
    Landing page //
    2021-10-22

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

Dash for macOS

Website
kapeli.com
Pricing URL
-
$ Details
Release Date
-
Edit details

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.

Dash for macOS features and specs

  • Comprehensive Documentation Library
    Dash offers an extensive collection of API documentation sets for a wide range of programming languages and frameworks, making it a one-stop solution for developers who need quick access to reference materials.
  • Offline Access
    Dash allows users to download documentation for offline use, which is invaluable when working in environments without internet access or when attempting to reduce dependency on online resources.
  • Snippets Manager
    Dash includes a snippets manager that enables users to store and organize code snippets, which can significantly accelerate coding by reusing previously written code.
  • Integration with IDEs
    Dash integrates seamlessly with a variety of popular integrated development environments (IDEs) and code editors, like Xcode, Atom, Sublime Text, and more, streamlining the development workflow.
  • Custom Docsets
    Users can create and manage their own custom docsets, allowing for documentation customization specific to internal libraries or less common technologies.

Possible disadvantages of Dash for macOS

  • Paid Software
    Dash is a paid application, which may be a deterrent for some users who prefer free solutions or developers working with tight budgets.
  • macOS Only
    Dash is exclusive to macOS, which excludes users on other operating systems like Windows or Linux from utilizing its features.
  • Initial Set-Up Time
    Initial setup of Dash and downloading the necessary documentation sets can be time-consuming, especially for users who require multiple docsets.
  • Limited Cloud Syncing
    Dash doesn't offer robust cloud syncing options for documentation sets or snippet repositories, meaning users need to manually manage these files if working across multiple devices.

Analysis of Dash for macOS

Overall verdict

  • Yes, Dash for macOS is considered an excellent tool for developers seeking efficient and reliable access to offline documentation.

Why this product is good

  • Dash is highly regarded for its extensive offline documentation for numerous programming languages, frameworks, and APIs. Its speed and ease of use make it a valuable tool for developers who need quick access to documentation without an internet connection. The application allows users to create their own docsets and keep all documentation up to date effortlessly.

Recommended for

  • Software Developers
  • Programmers
  • Web Developers
  • Mobile App Developers
  • IT Professionals

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

Dash for macOS videos

+ Add

Dash for macOS

Category Popularity

0-100% (relative to Dataiku and Dash for macOS)

Dataiku

Dash for macOS

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Productivity
0 0%
Productivity
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Software Development
0 0%
Software Development
100% 100

User comments

Share your experience with using Dataiku and Dash for macOS. 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 Dataiku and Dash for macOS

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

Dash for macOS Reviews

  1. Stan
    · Founder at SaaSHub ·
    One of my favourite productivity tools as a software developer

    Once you get use to it, you won't be able to imagine your life without Dash. It will save you a bit of time every day. Many times.

    As a bonus you can use the "snippets" feature as a generic text-expander. That saves me tons of time when writing emails, too.

    p.s. aText is not exactly a direct competitor; however, I replaced it through the snippets feature of Dash.

    🏁 Competitors: aText
Best Text Expander apps for MacOS
Dash offers one of the most simplistic ways to start adding your own snippets. Dash 3 offers a set of language documentation at the side and this is something that will help you with rules and references. The tool allows you to create snippets by simply copying the phrase. Alternatively, you can also create custom snippets using keyboard commands. Dash allows users to setup...
Source: techwiser.com
What's a good alternative to Textexpander for Mac?
14DashView Productajimix4Written 4y agoIf you are a developer, Dash is your choice. It also does text-expanding and works great!🙏 helpful 3CommentsShare
Source: www.producthunt.com

Social recommendations and mentions

Based on our record, Dash for macOS seems to be more popular. It has been mentiond 90 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.

Dataiku mentions (0)

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

Dash for macOS mentions (90)

  • Man pages are great, man readers are the problem
    Https://kapeli.com/dash for MacOS supports man pages just like any of its many other documentation sources. Just prefix the search query with `man:`. Absolute hall of fame app IMO. - Source: Hacker News / about 2 months ago
  • Why "alias" is my last resort for aliases
    Yeah, I do something kind of similar, using Dash [1] snippets which expand to full commands. Since I'm almost always on my mac, it means they're available in every shell, including remote shells, and in other situations like on Slack or writing documentation. I mostly use § as a prefix so I don't type them accidentally (although my git shortcuts are all `gg`-consonant which is not likely to appear in real typing).... - Source: Hacker News / 3 months ago
  • Patterns for Personal Web Sites (2003)
    Yeah, I keep thinking that CHM was the peak format for offline docs. Today we have Kiwix [0] and Dash/Zeal [1] – both amazing projects, but somehow they feel more complex, and the formats they use aren’t as ubiquitous. [0]: https://kiwix.org/en/ [1]: https://kapeli.com/dash for macOS, https://zealdocs.org/ for others. - Source: Hacker News / 4 months ago
  • Ask HN: What is one software product that boosted your productivity?
    Dash https://kapeli.com/dash Mac app. A native standardised search and browsing interface for the documentation of almost every programming language out there (and in some cases, their third-party libraries too). - Source: Hacker News / 8 months ago
  • Rerun: Visualize Multimodal Data over Time
    Rerun is great. I wish they prioritize rerun_sdk build for iOS and/or Android - so that you can log remotely from mobile devices. Serializing and streaming images, depthmaps, sensors data in own code is a pain and rerun has done great work with that. A little worrying for me that rerun seems getting more complicated and verbose and API changes frequently. The whole vizualization code can clutter algorithm/code... - Source: Hacker News / 9 months ago
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What are some alternatives?

When comparing Dataiku and Dash for macOS, you can also consider the following products

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

Zeal - Zeal is an API Documentation Browser.

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

DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more

OpenCV - OpenCV is the world's biggest computer vision library

iTerm2 - A terminal emulator for macOS that does amazing things.

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