Software Alternatives, Accelerators & Startups

figshare VS socketify.py

Compare figshare VS socketify.py and see what are their differences

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.

figshare logo figshare

Securely store and manage your research outputs in the cloud, or make them openly available and citable.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • figshare Landing page
    Landing page //
    2023-10-21
  • socketify.py Landing page
    Landing page //
    2023-09-24

figshare features and specs

  • Open Access
    Figshare allows researchers to make their data, results, and publications freely accessible, promoting transparency and enhancing the visibility and reach of their work.
  • Versatility
    It supports a wide range of file types and formats, which makes it versatile for different types of research outputs from datasets to videos and presentations.
  • DOI Assignment
    Figshare assigns a Digital Object Identifier (DOI) to every uploaded item, ensuring that users receive a permanent, citable link for their work.
  • User-friendly Interface
    The platform has an intuitive interface that makes it easy for users to upload, manage, and share their research outputs without technical difficulties.
  • Embeddable
    Research outputs on Figshare can be easily embedded into other websites and platforms, enhancing their visibility and ease of access among various audiences.

Possible disadvantages of figshare

  • Storage Limitations
    While Figshare offers free storage, there are limitations to the amount of data a user can store without incurring costs, which might not suffice for large datasets.
  • Cost for Extended Features
    Some advanced features and larger storage require payment, which can be a barrier for individuals or institutions with limited funding.
  • Limited Customization
    Users may find the level of customization for their data presentations limited compared to other specialized repositories.
  • Data Privacy
    Due to its open access nature, sensitive data needs to be properly anonymized or withheld, which could be a concern for certain types of research.
  • Competition and Redundancy
    With many other repositories available, there might be redundancy in data sharing, and some users may prefer platforms that are more specific to their research field.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

figshare videos

Figshare for Institutions Admin User Guide Video: Reviewing Items

More videos:

  • Review - Figshare for Institutions โ€” The All in One Repository
  • Demo - Figshare repository demonstration

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to figshare and socketify.py)
Research Tools
100 100%
0% 0
Python
0 0%
100% 100
Education
100 100%
0% 0
Web Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, figshare should be more popular than socketify.py. It has been mentiond 3 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.

figshare mentions (3)

  • 1,600 Days of a Failed Hobby Data Science Project
    I'll put a shoutout for https://zenodo.org/ and https://figshare.com/ as places to put your data, where you'll get a DOI and can let someone that's not a company look after hosting and backing it up. Zenodo is hosted as long as CERN is around (is the promise) and figshare is backed by the CLOCKSS archive (multiple geographically distributed universities). - Source: Hacker News / over 1 year ago
  • My super useful websites collection for you all!
    -Crystal growing information Http://xrayweb.chem.ou.edu/notes/xtalgrow.html Https://www.chemistryviews.org/details/education/2538901/Tips\_and\_Tricks\_for\_the\_Lab\_Growing\_Crystals\_Part\_2.html Free science Figures Https://smart.servier.com/ Https://phil.cdc.gov/ Databases of molecules and data Https://www.ebi.ac.uk/chembl/ - database of bioactive molecules with drug-like... Source: almost 5 years ago
  • Want to post my research
    I am a PhD student and conducting a clinical trial in eczema. I have used figshare.com to make my work public, which is used by many universities and academics to disseminate their work for free! No doubt that publishing in journals is the best way to reach your target audience, however there might be cost implications. Source: almost 5 years ago

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing figshare and socketify.py, you can also consider the following products

Zenodo - Network & Admin and Remote Work & Education

Open Science Framework - Open Science Framework provides project management with collaborators, and project sharing with the public.

ORCHID - Platform is a flexible, business application development tool to quickly create web business...

arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.

Crosspost - Write once, publish everywhere.

Papers We Love - A repository of academic computer science papers