Software Alternatives, Accelerators & Startups

Prisma VS Jupyter

Compare Prisma VS Jupyter and see what are their differences

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Prisma logo Prisma

Art filters using artificial intelligence to transform your photos into classic artwork.

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.
  • Prisma Landing page
    Landing page //
    2023-05-11
  • Jupyter Landing page
    Landing page //
    2023-06-22

Prisma features and specs

  • High-Quality Filters
    Prisma offers a variety of artistic filters that can turn ordinary photos into works of art, mimicking styles of famous artists.
  • User-Friendly Interface
    The app features an intuitive and easy-to-navigate interface, making it accessible for users of all experience levels.
  • Regular Updates
    Prisma provides regular updates to keep the app fresh and secure, often releasing new filters and features.
  • Cross-Platform
    Available on both iOS and Android platforms, allowing a wider range of users to enjoy its features.
  • Social Media Integration
    Prisma allows easy sharing to social media platforms, making it convenient for users to showcase their edited photos.

Possible disadvantages of Prisma

  • Performance Issues
    Some users report that the app can be slow, especially when applying more complex filters.
  • Subscription Model
    While Prisma offers a free version, access to premium filters and features requires a subscription, which might not be suitable for all users.
  • High Data Usage
    The app can consume a lot of data, especially when downloading new filters or uploading high-resolution photos.
  • Limited Offline Functionality
    Most of Prisma’s features require an internet connection, which can be a limitation in areas with poor connectivity.
  • Privacy Concerns
    As with many photo apps, there are concerns about data security and how user images are stored and used.

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

Prisma videos

PRISMA 2020: updated guidelines for reporting systematic reviews and meta-analyses

More videos:

  • Review - PRISMA GUIDELINES FOR SYSTEMATIC REVIEW and META-ANALYSIS
  • Review - PRISMA Methods Systematic Review of Diagnostic Studies

Jupyter videos

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 Prisma and Jupyter)
Digital Drawing And Painting
Data Science And Machine Learning
Image Editing
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

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

Prisma Reviews

  1. shah7
    · Admin at Lensa Mod ·
    Lensa

    Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video classification, and style transfer. Many users have praised its ease of use and accurate results. However, like any technology, it has its limitations and may not always provide the best results for all use cases.


5 Apps Like Prisma Photo Editor
Prisma Photo Editor is an elegant photo editing platform that creates awesome photos while letting you apply tons of amazing features, effects, and functionalities right away. You can make your pics look awesome while applying Prisma’s effects and filters.
11 Best AI-Powered Photo Editor Software and Apps for Professionals
Prisma recently rolled out another similar AI-powered editing app named Lensa, which’s solely made for selfies and portrait photos. It can cover up pimples, dark circles and do other skin corrections along with overall enhancements.
Source: geekflare.com
Best free and paid photo editing apps for iPhone and Android
Prisma doesn't deal with subtle filters and basic image corrections. Instead, its trippy filters will transform your images into often bizarre artistic creations. The results have a painterly effect and indeed many filters are inspired by artists such as Salvador Dali and Picasso. The filters are strong, and while you can tweak them, not every filter will work with every...
Source: www.cnet.com
5 Free Prisma Alternative Software for Windows to Turn Photos into Art
If you love turning photos into artwork, then you must love the Prisma app. However, it doesn’t offer any desktop client and only works on Android and iPhone. But, what if you want to turn your photos into artwork while working on PC? Well, then using some of the Prisma alternative software for Windows is probably the best option for you to do the same. To ease up things for...

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.
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.

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Prisma. While we know about 216 links to Jupyter, we've tracked only 5 mentions of Prisma. 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.

Prisma mentions (5)

  • How would generating art in private work ?
    What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce the personalised images. One such example is Lensa. Source: about 2 years ago
  • Catching The Morning Sun
    Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: about 3 years ago
  • Need your review. As a backend dev are you happy with GraphQL vs REST?
    I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: over 3 years ago
  • Carrack phone wallpaper edited using style transfer
    I really liked this wallpaper by /u/MadDaz and I tried using style transfers using prisma-ai.com to generate images a bit more abstract. Here are the results! Source: almost 4 years ago
  • Rare Rye Rose Mash-up
    Thanks - I made it on my android phone using Prisma and Snapseed. Source: almost 4 years ago

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
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What are some alternatives?

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

Deepart.io - Artificial intelligence turning your photos into art

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.

Deep Dream Generator - Create inspiring visual content in a collaboration with our AI enabled tools.

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

Deep Art Effects - Deep Art Effects transforms your photos and videos into works of neural art using artistic style transfer of famous artists.

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