Crandi

Libraries Io Security Maintenance Data For Open Source Software

Leo Migdal
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libraries io security maintenance data for open source software

Libraries.io monitors 10,349,800 open source packages across 32 different package managers. Libraries.io is a free service that collects publicly available open source package information scraped from the internet. With it you can search 9.96M packages by license, language, or explore new, trending, or popular packages. Data available via Libraries.io is scraped from the internet and not validated, corrected, or curated for accuracy. If you are looking to make important decisions about open source usage and management, consider our paid offering: The Tidelift Subscription. The Tidelift Subscription provides a curated source of open source package data backed by Tidelift and our maintainer partners, who are paid to ensure their projects follow enterprise-grade secure software development practices, now and...

The Tidelift Subscription provides deeper, more meaningful insights that allow you to evaluate latent risk indicators such as package maintenance and end-of-life status, evaluating code contributors and security measures such as two-factor-authentication to eliminate... What if we applied the techniques Google applied to index the internet back in 1998 to the world of open source software? That's exactly the thought Andrew Nesbitt had in 2014 which lead to the creation of Libraries.io, an open source project for indexing other open source projects. This month Libraries.io released metadata on over 25 million open source projects. You can download it right now from Zenodo, but what can you do with it? To understand what is contained within this dataset, I'll take a quick look at how it's collected.

Everything in Libraries.io begins with package managers. We index project metadata from 33 package managers, filling in gaps from their source repositories where we can. We parse project manifests—a gemfile, package.json, or similar—that includes code from other projects and stores the links between them. Projects and repositories are one of the key distinctions made in this dataset. Projects are typically the components distributed through one or more package managers. Repositories may belong to a project but most frequently they are consumers, incorporating projects into an application or service.

Repository dependencies—over 100 million of them—are the very core of this dataset. They define links between repositories and the projects that they build upon. Using these links we can easily uncover the most popular projects used in open source. But we can go further. I recently found this gem of a project. Looks like libraries.io was acquired by Tidelift that was acquired by Sonar, and is not abandoned.

It’s AGPL license preventing others to pick it up? For nearly three years, Libraries.io has been gathering data on the complex web of interdependency that exists in open source software. We’ve published a series of experiments using harvested metadata to highlight projects in need of assistance, projects with too few contributors and too little attention. This project has been going on from ~2016? I gave a talk at the AI Agent Security Summit by Zenity Labs on October 8th in San Francisco. I’ll post a blog version of that talk here shortly.

Enterprise systems provide a terrible user experience. That’s common knowledge. Check out one of the flash keynotes about the latest flagship AI product by ... Open-source security protects software built with publicly available code. It involves finding vulnerabilities, assessing risks, and implementing safeguards throughout the software lifecycle. These practices keep open-source projects secure from development to production.

Because open-source software plays a key role in software development its security has never been more essential. Powering everything from operating systems like Linux to databases like PostgreSQL, OSS is here to stay. And with the rise of cloud services and AI technologies, which often rely on OSS, open-source adoption is poised to increase. According to a report by Red Hat, 95% of IT leaders agree that open-source solutions are strategically important to their organization’'s overall enterprise infrastructure software strategy. Learn how Wiz Code scans IaC, containers, and pipelines to stop misconfigurations and vulnerabilities before they hit your cloud. For information about how Wiz handles your personal data, please see our Privacy Policy.

OSS helps developers innovate faster by building on existing code. The collaborative nature means more eyes spotting and fixing security issues. Organizations also save money by avoiding licensing fees while gaining the flexibility to customize software for their needs. Discover open source libraries, modules and frameworks you can use in your code. Libraries.io: visit the most interesting Libraries pages, well-liked by male users from India and USA, or check the rest of libraries.io data below. Libraries.io is a relatively well-visited web project, safe and generally suitable for all ages.

We found that English is the preferred language on Libraries pages. Their most used social media is Facebook with about 51% of all user votes and reposts. mrphishxxx/InflatableDonkey - Libraries.io iOS9 iCloud backup retrieval proof of concept development tool - a Java repository on GitHub Libraries.io - security & maintenance data for open source software by Jordi Cabot | Jan 10, 2018 | Code, research, Tool | 0 comments

Libraries.io monitors over 2 million open source libraries/packages from 36 package managers (npm, maven, Pypi, etc) and gathers relevant information about each of them, including their license, releases, contributors and dependencies among them. Libraries.io was started by Andrew Nesbitt and Benjamin Nickolls and it’s now part of Tidelift. The key contribution of Libraries.io is that it goes beyond providing individual project information (something other tools provide) by offering key insights on the ecosystem surrounding that project. A software ecosystem is defined as a collection of software projects which are developed and co-evolve together (due to technical dependencies and shared developer communities) in the same environment. As we said above, the dataset contains data on approximately 2.5 million unique software components, including 9 million tracked versions and 39 million tagged releases. It also contains data on 25 million repositories that utilize these projects in their own code, with 100 million declared dependencies upon projects.

The complete dataset is approximately 5GB compressed, 25GB uncompressed. Beyond providing an open API, the full dataset has been made available as a comma-separated-value table hosted by Zenodo . The data is licensed for use under the terms of the Creative Commons Attribution, Sharealike 4.0 licence. Data is organized in six packages. We summarize here the content of each package (see https://libraries.io/data for a full description, some data is only available for certain package managers since not all of them offer the same kind of data). The CSV export includes also aggregated summary data and a few additional fields to reduce the number of joins needed to analyze the data

fail Share via My Web Archive Sign InGet some help using the Wayback MachineClose the toolbar screenshotvideoShare on FacebookShare on Twitter The Wayback Machine - https://web.archive.org/web/20240325010337/https://medium.com/libraries-io/libraries-io-releases-data-on-over-25m-software-repositories-ab1db665826e Today’s software relies on a core set of of free, openly licensed components, frameworks and systems. But our shared, digital infrastructure is under threat. It’s overburdened and under-supported.

Nadia Eghbal’s Roads and Bridges study for the Ford Foundation gave us a series of personal vignettes on the state of open source — stressed maintainers, fractured communities and financial trouble. The stories we read resonated with our own experiences, our concerns legitimised and amplified. Best-in-class autonomous coding agent - From IDEA.md to production-ready code AutoFlow is a fully autonomous TDD-driven coding agent that takes you from requirements to production-ready code with minimal manual intervention. Just create an IDEA.md file and run autoflow start - everything else is automated. Built in Rust for performance and reliability.

Option 1: Install from crates.io (recommended): The installer automatically sets up all agents, skills, and configuration. Just run autoflow create my-project --idea IDEA.md to get started! 3. Install Docker & Docker Compose (Optional)

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