Google Open Source
LaunchKit - Open Source
GitHub Sponsors
Open Collective
Disney Open Source
Code NASA
Open Source @IFTTT
whatdevsneed
neptune.ai
Comet.ml
Algorithmia
Weights & Biases
Spell
MCenter
5Analytics
Managed MLflow
Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.
Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code
Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.
Google Open Source neptune.aiThis is recommended for developers looking for mature, scalable, and robust open-source solutions. It’s also ideal for organizations seeking to build upon a reliable foundation of tools, tech enthusiasts eager to learn and contribute to open source projects, and anyone interested in the collaborative world of software development.
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Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group
Google Open Source might be a bit more popular than neptune.ai. We know about 25 links to it since March 2021 and only 24 links to neptune.ai. 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.
Many companies that depend on OSS contribute financially so that the projects remain robust. Examples like Google and Microsoft have shown that corporate sponsorship is not only beneficial for maintainers but also for companies that rely on reliable software. The corporate sponsorship model moves away from traditional ad-based revenue generation, fostering a direct relationship between the sponsor and the... - Source: dev.to / about 1 month ago
Similarly, open source projects, which are the backbone of digital infrastructure, have long struggled to achieve sustainable funding. Crowdfunding platforms such as Kickstarter, Opencollective, and corporate sponsorships from technology giants like Google’s open source initiatives and Microsoft’s commitment to open source are now offering viable alternatives. Innovators have begun to integrate Non-Fungible Tokens... - Source: dev.to / about 1 month ago
Governments, academic institutions, and major tech companies like Microsoft and Google have recognized the importance of financial support. Funding models have evolved to include corporate sponsorships, grants (e.g., Mozilla's Open Source Support Program), and community-driven donations through platforms like GitHub Sponsors and Open Collective. - Source: dev.to / about 1 month ago
Sponsorship Programs: Platforms such as GitHub Sponsors and offerings from tech giants like Google Open Source and Microsoft Open Source provide recurring support while maintaining community values. - Source: dev.to / 2 months ago
As digital economies matured, the limitations of relying solely on volunteer support became apparent. Numerous OSS projects found that a lack of steady revenue streams led to developer burnout, limited maintenance, and even stagnation. Today, the OSS landscape has evolved to incorporate a blend of funding methods that include individual donations for open source projects, crowdfunding via platforms like GitHub... - Source: dev.to / 2 months ago
Some tools for model validation include Neptune AI, Kolena, and Censius. - Source: dev.to / 6 months ago
Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / about 1 year ago
Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / over 1 year ago
Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / over 1 year ago
There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: almost 2 years ago
LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.
Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
GitHub Sponsors - Get paid to build what you love on GitHub
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Open Collective - Recurring funding for groups.
Weights & Biases - Developer tools for deep learning research
