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  1. Stackups
  2. AI
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  4. Machine Learning As A Service
  5. Inferrd vs Sportlingo

Inferrd vs Sportlingo

OverviewComparisonAlternatives

Overview

Inferrd
Inferrd
Stacks2
Followers11
Votes10
Sportlingo
Sportlingo
Stacks0
Followers1
Votes1

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Detailed Comparison

Inferrd
Inferrd
Sportlingo
Sportlingo

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

Machine Learning practioners don't need to wait for engineering to deploy their models anymore; No need to invest in expensive infrastructure and tooling. Inferrd starts at $14, batteries included; Built with security in mind. Your models are protected using state-of-the-art encryption at rest.
AI, Machine Learning, Analytics, API, Sports Analytics, Developer Tools
Statistics
Stacks
2
Stacks
0
Followers
11
Followers
1
Votes
10
Votes
1
Pros & Cons
Pros
  • 3
    Easy to use
  • 2
    Very quick response time
  • 2
    Fast
  • 2
    Secure
  • 1
    Fair pricing
No community feedback yet
Integrations
TensorFlow
TensorFlow
SpaCy
SpaCy
Keras
Keras
scikit-learn
scikit-learn
No integrations available

What are some alternatives to Inferrd, Sportlingo?

Keen

Keen

Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

Snowplow

Snowplow

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Ahoy

Ahoy

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

GraphLab Create

GraphLab Create

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

digna

digna

Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Bitdeli

Bitdeli

Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.

BigML

BigML

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

Rybbit

Rybbit

Next-gen, open source, lightweight, cookieless web & product analytics for everyone — GDPR/CCPA compliant.

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