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.
Giskard provides interfaces for AI & Business teams to evaluate and test ML models through automated tests and collaborative feedback from all stakeholders.
Giskard speeds up teamwork to validate ML models and gives you peace of mind to eliminate risks of regression, drift and bias before deploying ML models to production.
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
Based on our record, neptune.ai should be more popular than Giskard.ai. It has been mentiond 22 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.
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 / 3 months 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 / 7 months 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: 8 months ago
Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 9 months ago
Tbh I have done a pretty good search on this topic, I couldn't find any. I thought maybe community could help me find one, if people like you (who works at neptune.ai) have the same opinion then it is what it is :). Anyway thank you for the suggestions that you gave, probably gonna use that. Source: 10 months ago
Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/ We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models. Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Quality & Safety. Giskard helps Data Scientists & ML Engineering teams... - Source: Hacker News / 7 months ago
Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production. It... - Source: Hacker News / 11 months ago
Giskard | R&D (multiple roles) | Full-time | Paris, France | https://giskard.ai/ We are building the first collaborative & open-source Quality Assurance platform for all AI models. Founded in 2021 in Paris (France) by ex-Dataiku engineers, we are an emerging player in the new market of AI Quality. Giskard helps AI & Business teams collaborate to evaluate & test AI models. We help organizations increase the... - Source: Hacker News / about 1 year ago
Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
TrayStatus - Do you have a notebook or keyboard without a NumLock or CapsLock indicator light? Do you have a computer without a hard drive activity light? If so, then TrayStatus is for you.
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.
CapsLock Indicator - CapsLock Indicator is a small utility that indicates the state of the Num lock, Caps lock and Scroll lock key.
Weights & Biases - Developer tools for deep learning research
addLEDs - AddLEDs displays the state of the Caps Lock, Num Lock and Scroll Lock keys and provides information on network and disc activity with the help of icons.