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figshare VS mlsql

Compare figshare VS mlsql and see what are their differences

figshare

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

Rating
0 reviews
Alternatives Is it good?
mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
Alternatives Is it good?
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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.

Which is more popular?

Based on our record, figshare should be more popular than mlsql. It has been mentioned 3 times since March 2021.

social mentions
3 vs 2
Research Tools popularity
100% vs 0%
alternatives listed
33 vs 1

Base details

Website, pricing, platforms and company facts side by side.

figshare
mlsql
Website figshare.com github.com
Listed in
Research Tools Education & Reference CMS Information Organization +1
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

figshare 5 features
mlsql 0 features
  • 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

  • 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.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

figshare
mlsql

No analysis of figshare yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Videos

Walkthroughs and reviews on video.

figshare 3 videos + Add
mlsql 0 videos + Add

Figshare for Institutions Admin User Guide Video: Reviewing Items

More videos

  • - Figshare for Institutions — The All in One Repository
  • - Figshare repository demonstration

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
figshare
mlsql
100% 100%
Research Tools
0% 0%
0% 0%
Web App
100% 100%
68% 68%
Education
32% 32%
0% 0%
LMS
100% 100%

User comments

Share your experience with using figshare and mlsql. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

figshare 3 mentions
mlsql 2 mentions
  • 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... - Source: Hacker News / almost 2 years 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 ... Source: about 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... Source: about 5 years ago
  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to figshare and mlsql

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

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