figshare VS imagecli

• 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.

• Simple CLI interface
  image-cli offers a straightforward command-line interface that lets users perform common image operations like resizing, converting formats, and compressing without writing code, making it accessible for quick tasks and scripting.
• Built on Sharp
  Under the hood it leverages the Sharp library, which is known for high performance and low memory usage when processing images, so users benefit from fast conversions and resizing even for large batches.
• Multiple format support
  The tool supports converting between popular image formats such as JPEG, PNG, WebP, and AVIF, giving developers flexibility to optimize images for web or other platforms without needing separate tools.
• Batch processing
  image-cli can process multiple files or entire directories in one command, which is useful for automating image optimization pipelines in build scripts or CI/CD workflows.
• Lightweight and easy to install
  As an npm package, it can be installed quickly via npm or yarn and used directly with npx, requiring minimal setup compared to more complex image processing suites.

Possible disadvantages

• Limited advanced features
  Compared to full-featured image editing suites, image-cli offers a relatively narrow set of operations (resize, convert, compress) and lacks more advanced manipulations like layers, filters, or complex transformations.
• Dependency on Node.js ecosystem
  Since it's an npm-based CLI, users need Node.js and npm installed, which adds an extra dependency for those who just want a standalone binary without a JavaScript runtime.
• Documentation gaps
  Being a smaller, less mainstream project, the documentation may be sparse or lack detailed examples for edge cases, making it harder for new users to discover all available options or troubleshoot issues.
• Maintenance and community support
  As a side project by an individual maintainer (egoist), the tool may receive infrequent updates or slower bug fixes compared to more actively maintained, enterprise-backed image processing tools.
• Limited error handling and feedback
  Some users report that error messages when processing fails (e.g., unsupported formats or corrupted files) can be unclear, making debugging batch operations more time-consuming.

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Figshare for Institutions Admin User Guide Video: Reviewing Items

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• 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

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• 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

Tracking imagecli since Mar 2021.