Best Serverless Platforms for Python

Compare the Top Serverless Platforms that integrate with Python as of September 2025

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This a list of Serverless platforms that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.

What are Serverless Platforms for Python?

Serverless platforms are cloud computing services that allow developers to build and deploy applications without managing the underlying infrastructure, such as servers or virtual machines. These platforms automatically handle the scaling, provisioning, and maintenance of resources, allowing developers to focus on writing code and implementing business logic. Serverless platforms typically provide a pay-as-you-go pricing model, where users only pay for the actual resources used during execution rather than for idle time. Features of serverless platforms include automatic scaling, event-driven architecture, and support for various programming languages and services. Popular serverless platforms are commonly used for web applications, microservices, APIs, and data processing. Compare and read user reviews of the best Serverless platforms for Python currently available using the table below. This list is updated regularly.

1

Google Cloud Run

Google

Google Cloud Run offers a serverless platform where users don't need to manage servers or infrastructure, allowing them to focus solely on application development. With serverless computing, Cloud Run automatically manages the scaling of containers based on incoming traffic, ensuring that resources are allocated efficiently and that costs are minimized. Developers only pay for the compute time they actually use, without worrying about maintaining idle resources. New customers can explore Cloud Run's serverless features with $300 in free credits, allowing them to experience how serverless computing can reduce operational costs and complexity. Cloud Run’s serverless architecture ensures high availability, automatic scaling, and low operational overhead for developers. This makes it an ideal choice for applications with variable traffic patterns or unpredictable demand.

275 Ratings

Starting Price: Free (2 mil requests/month)

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2

Quix

Quix

Building real-time apps and services require lots of components running in concert: Kafka, VPC hosting, infrastructure as code, container orchestration, observability, CI/CD, persistent volumes, databases, and much more. The Quix platform takes care of all the moving parts. You just connect your data and start building. That’s it. No provisioning clusters or configuring resources. Use Quix connectors to ingest transaction messages streamed from your financial processing systems in a virtual private cloud or on-premise data center. All data in transit is encrypted end-to-end and compressed with G-Zip and Protobuf for security and efficiency. Detect fraudulent patterns with machine learning models or rule-based algorithms. Create fraud warning messages as troubleshooting tickets or display them in support dashboards.

Starting Price: $50 per month

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3

Yandex Cloud Functions

Yandex

Run code as a function in a secure, fault-tolerant, and automatically scalable environment without creating or maintaining VMs. As the number of function calls increases, the service automatically creates additional instances of your function. All functions run in parallel. The runtime environment is hosted in three availability zones, ensuring availability even if one zone fails. Configure and prepare instances of functions always ready to process loads. This mode allows you to avoid cold starts and quickly process loads of any size. Give functions access to your VPC to accelerate interactions with private resources, database clusters, virtual machines, Kubernetes nodes, etc. Serverless Functions tracks and logs information about function calls and analyzes execution flow and performance. You can also describe logging mechanisms in your function code. Launch cloud functions in synchronized mode and delayed execution mode.

Starting Price: $0.012240 per GB

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4

Modal

Modal Labs

We built a container system from scratch in rust for the fastest cold-start times. Scale to hundreds of GPUs and back down to zero in seconds, and pay only for what you use. Deploy functions to the cloud in seconds, with custom container images and hardware requirements. Never write a single line of YAML. Startups and academic researchers can get up to $25k free compute credits on Modal. These credits can be used towards GPU compute and accessing in-demand GPU types. Modal measures the CPU utilization continuously in terms of the number of fractional physical cores, each physical core is equivalent to 2 vCPUs. Memory consumption is measured continuously. For both memory and CPU, you only pay for what you actually use, and nothing more.

Starting Price: $0.192 per core per hour

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