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Spotty Alternatives
Similar projects and alternatives to spotty
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
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sagemaker-run-notebook
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
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ethereum-etl
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
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sagemaker-tensorflow-training-toolkit
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
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sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
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skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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image-super-resolution
Discontinued 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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spotty discussion
spotty reviews and mentions
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[D] Interactive Compute Platform Recommendations for ML Research
Use spotty https://github.com/spotty-cloud/spotty to launch AWS Spot instances that you can use ssh port forwarding with to run GPU experiments from a jupyer notebook.
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[P]Spotml.io: Seamless ML training on AWS Spot instances, with docker (training 3X cheaper)
SpotML is a command line tool that automatically manages ML training on AWS spot instances. It lets you handle spot interruptions by resuming training using the latest checkpoint. Documentation link to try it out Looking for feedback from early testers. You would be an ideal candidate if you have a side project that you're spending your own money to train. Acknowledgement: - SpotML is built on top of existing open source library Spotty
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Show HN: Seamless ML training on AWS Spot instances
- SpotML is built on top of existing open source library Spotty: https://github.com/spotty-cloud/spotty
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2025
Stats
spotty-cloud/spotty is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of spotty is Python.