neptune.ai
Algorithmia
Comet.ml
Spell
MCenter
5Analytics
Managed MLflow
Numericcal
Apify Python SDK
Apify
Bright Data
Scraper API
ScrapingBee
Oxylabs
MapiLeads
EnsembleData
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.
neptune.ai Apify Python SDKNo Apify Python SDK videos yet. You could help us improve this page by suggesting one.
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 seems to be a lot more popular than Apify Python SDK. While we know about 24 links to neptune.ai, we've tracked only 2 mentions of Apify Python SDK. 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.
Some tools for model validation include Neptune AI, Kolena, and Censius. - Source: dev.to / over 1 year 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 2 years 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 2 years 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 โcopy-pasteโ their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / almost 3 years 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 3 years ago
To overcome these challenges, we will utilize the Apify SDK for Python and Residential Proxies, which enable us to route requests through legitimate devices, making our traffic indistinguishable from real users. - Source: dev.to / 8 months ago
Then add Apify SDK for Python as a project dependency:. - Source: dev.to / over 1 year ago
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.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Comet.ml - Comet lets you track code, experiments, and results on ML projects. Itโs fast, simple, and free for open source projects.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Spell - Deep Learning and AI accessible to everyone
Scraper API - Scale Data Collection with a Simple API.