Dokku VS Algorithmia
Compare Dokku VS Algorithmia and see what are their differences
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Dokku
Google App Engine
Salesforce Platform
Google Cloud Functions
AWS Lambda
Azure Web Apps
Heroku
CapRover
Algorithmia
Managed MLflow
neptune.ai
5Analytics
MCenter
Numericcal
ARGONAUT
Datatron
Dokku AlgorithmiaBased on our record, Dokku should be more popular than Algorithmia. It has been mentiond 12 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.
Yeah there are a bunch of selfhostable things: Caprover (https://caprover.com/) Dokku (https://github.com/dokku/dokku. - Source: Hacker News / 2 months ago
Considering other orchestration tools like dokku, dcos, deis, flynn, docker swarm, etc.. Kubernetes is no where near to them in terms of lines of code, on an average those tools are around 100k-200k lines of code. Source: over 1 year ago
Other interesting projects to also follow: * Caprover * Dokku. Source: over 1 year ago
If I could make a recommendation, it would be to give Dokku a try. (Disclaimer: not affiliated, but like the project so much I sponsor it. My opinions are biased towards it.). Source: almost 2 years ago
My next favorite option is to host on a DigitalOcean VM. You can use Dokku to get your own mini-Heroku PaaS, or manage the VM yourself (following Microsoft's documentation). You can get a $100 60-day credit from a referral link - A good way to get started. Source: almost 2 years ago
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 2 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 2 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 2 years ago
Seems similar to https://algorithmia.com. Source: over 2 years ago
Algorithmia.com — Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 3 years ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
Google Cloud Functions - A serverless platform for building event-based microservices.
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.