Software Alternatives & Startups
Register | Login

NumPy VS Obsidian

Compare NumPy VS Obsidian and see what are their differences

Notivo
Notivo is a private, per-person notebook for managers. Capture feedback, commitments, and 1:1 context as it happens — from web, iOS, WhatsApp, email, ChatGPT, or Claude — then get it back later, organized by person. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Obsidian logo Obsidian

A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Obsidian Landing page
    Landing page //
    2023-09-01

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Obsidian features and specs

  • Local-first
    Obsidian stores your notes locally on your device, giving you full control over your data and enhancing privacy.
  • Markdown Support
    Obsidian uses Markdown, making it easy to format text and compatible with many other text editors and tools.
  • Bidirectional Linking
    You can create bidirectional links between notes, which helps in building a knowledge graph and navigating related information more easily.
  • Customizability
    Obsidian is highly customizable with community plugins, themes, and various settings to fit different workflows.
  • Graph View
    Provides a visual graph view of your notes and their connections, aiding in understanding relationships and discovering insights.
  • Offline Access
    Since the notes are stored locally, you can access and edit them without an internet connection.

Possible disadvantages of Obsidian

  • Learning Curve
    Obsidian can be complex and overwhelming for beginners due to its extensive features and customizable nature.
  • Sync Limitations
    While local-first is great for privacy, it requires additional steps or third-party solutions for syncing across devices.
  • No True Real-time Collaboration
    Obsidian lacks native real-time collaboration features, making it less suitable for collaborative work compared to cloud-based solutions.
  • Limited Mobile Features
    The mobile version of Obsidian, while functional, is not as robust as the desktop application, potentially hindering productivity on the go.
  • Dependence on Plugins
    Many advanced features require the use of third-party plugins, which could lead to compatibility issues and reliance on community support.
  • Performance on Large Vaults
    Performance might degrade with a very large number of notes or complex graphs, impacting usability.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Analysis of Obsidian

Overall verdict

  • Overall, Obsidian.md is an excellent tool for users looking for a versatile and powerful note-taking application. Its unique features such as backlinking, markdown support, and robust customization options make it a favorite among knowledge management enthusiasts.

Why this product is good

  • Obsidian.md is considered good by many users because it is a powerful knowledge management and note-taking application that leverages Markdown for document formatting. It allows for bi-directional linking between notes, which helps in creating a network of interconnected ideas, often described as a 'second brain.' Its ability to support plugins, themes, and robust graph visualization also adds to its appeal. Additionally, it stores notes locally, ensuring privacy and data ownership, while being cross-platform compatible across Windows, macOS, and Linux.

Recommended for

  • Knowledge workers who need a powerful tool to organize and connect their thoughts.
  • Students who are looking to create a structured and visually interconnected note system.
  • Writers and researchers who benefit from linking related ideas and maintaining detailed notes.
  • Tech-savvy users or developers who appreciate the local storage and open ecosystem for plugins and customization.

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Obsidian videos

+ Add

OBSIDIAN: Getting Started, Facts & Pricing

Category Popularity

0-100% (relative to NumPy and Obsidian)

NumPy

Obsidian

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Note Taking
0 0%
Note Taking
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Knowledge Management
0 0%
Knowledge Management
100% 100

User comments

Share your experience with using NumPy and Obsidian. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Obsidian

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Obsidian Reviews

  1. MTRG15
    The kind of software that may change your life

    Perhaps you know someone who swears by Obsidian, it may seem like a cult of overly devoted people for how passionate they are, but it's not without reason

    I've been using Obsidian for over 3 years, at a point in my life when I felt I had to handle too much information and I felt like grasping water not being able to remember everything I wanted, language learning, programming, accounting, university, daily tasks. A friend recommended it to me next to Notion (of which he is a passionate cultist priest) and I reluctantly picked it and fell in love almost immediately.

    Obsidian seems very simple, like a notepad with folder interface, similar to Sublime Text, but the ability to link files together in a Wiki style allows you to organize ideas in any way you want, one file may lead to a dozen or more ideas that are related

    If you want to do something specific, Obsidian has a plethora of community created plugins that expand the functionality, in my case, I use obsidian to organize my classes both as a teacher and as a student, using local databases, calendars, dictionaries, slides, vector graphic drawings, excel-like tables, Anki connection, podcasts, and more

    Competitors: Notion, Evernote
    Pros:    Awesome community|Custom plugins|Local hosting|Beautiful themes|Highly customizable|Cloud storage|Becomes more useful over time|Markdown support
    Cons:    Seems complicated/complex at first|Takes time to set up your personal workspace|Overwhelming for first time user
  2. Stan
    · Founder at SaaSHub ·
    My personal knowledge-base of choice

    I've been using Obsidian for more than a year. It's been great. I think it offer a great balance of control, flexibility and extensibility. What is more, you own your own data, that's been a must-have feature for me. I just can't imagine putting all my knowledge into something that I don't have control over.

    I think two of the most popular alternatives that people consider are Logseq and Roam Research. Although Logseq is a bit different, it's considered compatible with Obsidian. Supposedly, you can use them with a shared database (files. Both use simple text files for storage). I tried that once, a few months ago. It worked, yet it messed up a bit my Obsidian files ¯_(ツ)_/¯.

    Competitors: Logseq, Roam Research
The 6 best note-taking apps in 2024
One thing to note: Notion bills itself as an Evernote competitor for personal users. It can be—but it's too much for most people, and its offline functionality isn't the best. If you love the idea of Notion, go right ahead and try the free Personal Plan, but for me, it's really best as a team notes app or an AI-powered notes app. Something like Obsidian (which we'll look at...
Source: zapier.com
The best note-taking apps for collecting your thoughts and data
This app is the kind of thing that, if you’re into it, will have you exploring its various ins, outs, and add-ons for days and weeks on end. Obsidian uses the Markdown format for its notes (which means they can be used on a variety of other apps). Your notes and other media are kept locally in a Vault (in other words, a main folder). There are ways to sync between devices...
Source: www.theverge.com
The 5 Best Open Source Miro Alternatives in 2024
However, it's important to note that Obsidian's whiteboard functionality is not as robust as dedicated collaboration tools. While it lacks real-time basic collaboration features, Obsidian compensates with its vibrant plugin ecosystem, empowering users to customize their experience.
Source: affine.pro
The best encrypted note taking apps
For a consumer coming from Evernote, Notion, OneNote, or a similar product, we would advise trying Obsidian along another product on this list as it has the largest learning curve. However, if you are an expert with markdown, experts, linking, and graph views, Obsidian could be an excellent choice. Like many other configuration options, Obsidian leaves end-to-end encryption...
Source: www.skiff.com
Supercharge Your Productivity: Three Recommended Tools for Thought
One of my AP Productivity: Cohort mentors has a powerful system pairing Obsidian with OmniFocus. In OmniFocus, he builds his project and task structures, and in Obsidian he develops and organizes the project support materials as well as other relevant information. Because it’s easy to link to an Obsidian note or an OmniFocus project, he can seamlessly navigate back and forth...
Source: medium.com

Social recommendations and mentions

Based on our record, Obsidian seems to be a lot more popular than NumPy. While we know about 1523 links to Obsidian, we've tracked only 122 mentions of NumPy. 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.

NumPy mentions (122)

View more

Obsidian mentions (1523)

  • Which Markdown editor to choose
    Inline preview, usually called WYSIWYG. Obsidian's Live Preview mode hides the syntax except where the cursor is. Obsidian is a far better personal knowledge base than anything else on this page, with backlinks, a graph and years of plugins, and if that is what you need the question of what its editor is called does not matter much. - Source: dev.to / 15 days ago
  • I Built a Self-Evolving Knowledge Base — Here's the Architecture
    The stack is all open source: Obsidian, GBrain, Horizon, PGLite, and a couple of small Python scripts for the state machine and quality gates. None of the interesting parts are proprietary — the interesting part is the discipline. - Source: dev.to / 21 days ago
  • A Second Brain Your AI Agent Can Read
    Obsidian is a note-taking app that stores everything as Plain markdown files. It lets you organize and structure your notes in a Flexible way, and because the files are plain text on disk, anything that can Read a directory can read your notes, including an AI agent. - Source: dev.to / about 1 month ago
  • Bringing Notes, WeChat Reading, and Zhihu into Obsidian: My LLM-Wiki Knowledge Hub
    Install Obsidian: Download the client from obsidian.md and create a local Vault — just a local folder. - Source: dev.to / 2 months ago
  • Ask HN: New clean macOS install. Must-have apps? Best browser?
    Obsidian (https://obsidian.md/) Honestly its not huge and most are probably obvious, but those are what I immediately install on my machines. - Source: Hacker News / 3 months ago
View more

What are some alternatives?

When comparing NumPy and Obsidian, you can also consider the following products

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

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.

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

Logseq - Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.

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

Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.

Loading...