What is better scikit-learn or Algorithmia Enterprise? Buying the ideal AI Software for your organization is essential to boosting your company’s productivity. In our platform, you can easily review various solutions to see which one is the ideal software for your needs. Here you can match scikit-learn vs. Algorithmia Enterprise and look at their overall scores (8.9 vs. 8.4, respectively) and user satisfaction rating (100% vs. 100%, respectively).
You can also browse the specifics of pricing, conditions, plans, capabilities, tools, and more, and decide which software offers more benefits for your business. In practice, choose the software which helps you to change the features and pricing to match your business growth or lack of it.
We are aware that not all businesses have enough time to test a large number of different products, so we prepared a list of recommendations that you may find useful. Our top selections for the AI Software category are: Salesforce Einstein, Azure Machine Learning Studio, Google Vertex AI.
scikit-learn provides documentation for the use of its API if you want to integrate your app. No other integration information is provided.
Languages Supported
English
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Prominent Clients
Spotify, Inria, Evernote
Available Devices
Windows
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Android
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Web-based
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Company Size
Small Business
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Medium Business
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Available Support
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General Info
A free-to-use machine learning module for Python built on SciPy. This AI platform is capable of creating neuroimages, predicting consumer behavior, detecting abusive actions in the web, and more. It is also released with a BSD license which means individuals and businesses can utilize scikit-learn for personal and commercial purposes.
Algorithmia enterprise pricing is based on the number of API calls users make. The platform charges 1 credit per usage second and a royalty per call if the user charges a royalty. Users can start with a free account and a complimentary 10,000 credits. Additional credits can be bought and pricing starts at $20.00 per 20,000 credits. Users can also buy one million credits for $100.00 and get a 10% bonus in the process. Volume pricing is available. To request a quote, send an email or chat with a sales engineer.
In the event you continue having doubts about which app will perform best for your company it might be a sensible idea to take a look at each service’s social metrics. Such metrics are usually an indicator of how popular a given service is and how large is its online presence.For example, if you look at scikit-learn LinkedIn page you’ll learn that they are followed by 288 users. In case of Algorithmia Enterprise the number of followers on their LinkedIn page is 1134.
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