PythonAnywhere
Heroku
Google App Engine
DigitalOcean
Microsoft Azure
AWS Cloud9
Codeanywhere
Amazon AWS
Cron To Go
JAMS Scheduler
Stonebranch
Control-M
ActiveBatch
Resolve
Apache Oozie
vCloud Director
Distributed, scalable and reliable cloud scheduler. Cron is no longer a single point of failure.
You can define schedules with a 60 seconds precision, using the familiar Unix cron format so that your jobs run multiple times a day, on specific days and time of the week or of the month.
Cron To Go will spawn one-off dynos with your commands and environment to save on costs.
Monitor your job executions and view real-time logs to debug your tasks in addition to mail and webhook notifications.
Receive notifications directly to your email or via webhooks.
Enterprise-grade reliability for cron jobs. Guaranteed at-least-once delivery to your job targets. In case of failures, schedules are re-triggered to assure they are delivered at least once.
Cron To Go allows you to manage all of your automation tasks in a single place with an easy to use UI.
Easily import your jobs from Heroku Scheduler and Temporize Scheduler for smooth migration.
For the times you want your jobs to run according to your local time or more specifically, daylight saving time!
7 days free trial including up to 15 jobs, unlimited executions, webhooks and more!
PythonAnywhere
Cron To GoPythonAnywhere is especially recommended for Python developers (beginners and intermediates), educators, students, and hobbyists who are looking for an easy and quick way to deploy and host their Python applications or who need an online python environment for coding practice.
Based on our record, PythonAnywhere seems to be more popular. It has been mentiond 55 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.
The website is already built. Each comment will have a reddit post URL, and the bot should leave a comment on that URL. We can use pythonanywhere.com for this to make it easiest. Source: about 3 years ago
If you are learning, use pythonanywhere.com as they specialize in python, and make setup easy. Only $5 a month. Start with a barebones flask app, get it to run, then follow a tutorial. Actually better to build the app locally, easier to test with IDE like Pycharm. Then upload to the net. Source: about 3 years ago
Hello, I have a Minecraft server running on a Rpi with Paper. It works great and I use it to play with some of my friends. However, the server's public IP address often changes, meaning that I have to give my friends the new IP address daily. Being a programmer, I feel this could be automated. I don't want to buy a domain, so I want to try and setup a system where the server sends Its IP to my PythonAnywhere... Source: over 3 years ago
Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: over 3 years ago
So what is the best alternative? I have one Plotly Dash app on pythonanywhere.com where I spend 6 bucks a month so I don't want to spend anymore than 5 dollars per month on the PHP + MySQL. Source: over 3 years ago
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
JAMS Scheduler - Enterprise workload automation software supporting processes on Windows, Linux, UNIX, iSeries, SAP, Oracle, SQL, ERPs and more.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Control-M - ControlโM simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.