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Showing posts with label January 23. Show all posts
Showing posts with label January 23. Show all posts

Sunday, January 24, 2021

Show HN: Filmulator – a streamlined, open-source raw photo editor https://ift.tt/364VkSiTHE RIGHT PEOPLE https://ift.tt/368xncLTHE RIGHT PEOPLE https://ift.tt/3o7mhek https://ift.tt/3o7mhekTHE RIGHT PEOPLE https://ift.tt/2Mh2NH4THE RIGHT PEOPLE https://ift.tt/2Y6zXf2 https://ift.tt/2Y6zXf2

Show HN: Filmulator – a streamlined, open-source raw photo editor https://ift.tt/3ocTJzW January 23, 2021 at 12:30PM

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Show HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot https://ift.tt/3iGUFePTHE RIGHT PEOPLE https://ift.tt/39WwXr6THE RIGHT PEOPLE https://ift.tt/3t1DKsq https://ift.tt/3t1DKsqTHE RIGHT PEOPLE https://ift.tt/3sRWFprTHE RIGHT PEOPLE https://ift.tt/3qLjZDf https://ift.tt/3qLjZDf

Show HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot https://ift.tt/2YbbXr4 January 23, 2021 at 04:13PM

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Show HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS) https://ift.tt/3iHhVtkTHE RIGHT PEOPLE https://ift.tt/3olpxmFTHE RIGHT PEOPLE https://ift.tt/39Tr7qw https://ift.tt/39Tr7qwTHE RIGHT PEOPLE https://ift.tt/3pdlud3THE RIGHT PEOPLE https://ift.tt/365Yo0o https://ift.tt/365Yo0o

Show HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS) https://ift.tt/3qK6N1r January 23, 2021 at 11:45AM

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Show HN: I bought wutangforever.net a few days ago for $10 https://ift.tt/2Nw595rTHE RIGHT PEOPLE https://ift.tt/39aa0RZTHE RIGHT PEOPLE https://ift.tt/2Mh7TTx https://ift.tt/2Mh7TTxTHE RIGHT PEOPLE https://ift.tt/39e89M6THE RIGHT PEOPLE https://ift.tt/3sQjPwr https://ift.tt/3sQjPwr

Show HN: I bought wutangforever.net a few days ago for $10 https://ift.tt/2Y61Ofd January 23, 2021 at 02:15PM

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Show HN: Filmulator – a streamlined, open-source raw photo editor https://ift.tt/364VkSiTHE RIGHT PEOPLE https://ift.tt/368xncLTHE RIGHT PEOPLE https://ift.tt/3o7mhek https://ift.tt/3o7mhek

Show HN: Filmulator – a streamlined, open-source raw photo editor https://ift.tt/3ocTJzW January 23, 2021 at 12:30PM

via Blogger https://ift.tt/3pfkGEu

(https://ift.tt/3iKScjB

Show HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot https://ift.tt/3iGUFePTHE RIGHT PEOPLE https://ift.tt/39WwXr6THE RIGHT PEOPLE https://ift.tt/3t1DKsq https://ift.tt/3t1DKsq

Show HN: My Home Kubernetes Cluster Managed by Flux2 and Renovatebot https://ift.tt/2YbbXr4 January 23, 2021 at 04:13PM

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(https://ift.tt/39aPDUJ

Show HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS) https://ift.tt/3iHhVtkTHE RIGHT PEOPLE https://ift.tt/3olpxmFTHE RIGHT PEOPLE https://ift.tt/39Tr7qw https://ift.tt/39Tr7qw

Show HN: Fast, turnkey static web site recipe (Terraform and Jekyll and AWS) https://ift.tt/3qK6N1r January 23, 2021 at 11:45AM

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(https://ift.tt/39adIuU

Show HN: I bought wutangforever.net a few days ago for $10 https://ift.tt/2Nw595rTHE RIGHT PEOPLE https://ift.tt/39aa0RZTHE RIGHT PEOPLE https://ift.tt/2Mh7TTx https://ift.tt/2Mh7TTx

Show HN: I bought wutangforever.net a few days ago for $10 https://ift.tt/2Y61Ofd January 23, 2021 at 02:15PM

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(https://ift.tt/2KGWFXZ

Saturday, January 23, 2021

Show HN: Pins – A modern Pinboard app for iOS/macOS https://ift.tt/39bumKYTHE RIGHT PEOPLE https://ift.tt/2M0K0QrTHE RIGHT PEOPLE https://ift.tt/366hpAa https://ift.tt/366hpAa

Show HN: Pins – A modern Pinboard app for iOS/macOS https://ift.tt/3sRiG7B January 23, 2021 at 03:58AM

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Show HN: Supercharge.dev – Accelerated Development in React/Next.js https://ift.tt/3o8Vf6bTHE RIGHT PEOPLE https://ift.tt/3oaTxBmTHE RIGHT PEOPLE https://ift.tt/2McyTDH https://ift.tt/2McyTDH

Show HN: Supercharge.dev – Accelerated Development in React/Next.js http://supercharge.dev/ January 23, 2021 at 04:18AM

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Show HN: Garnet – Distributed Python on Kubernetes https://ift.tt/3a0ibzwTHE RIGHT PEOPLE https://ift.tt/3c5qH3aTHE RIGHT PEOPLE https://ift.tt/3c5wLbC https://ift.tt/3c5wLbCTHE RIGHT PEOPLE https://ift.tt/39UHaExTHE RIGHT PEOPLE https://ift.tt/3qEOcnw https://ift.tt/3qEOcnw

Show HN: Garnet – Distributed Python on Kubernetes Garnet (https://garnet.ai) is a framework to run distributed and parallel Python on Kubernetes. We make it easy to scale from laptop to cluster, without requiring any devops work. Garnet plugs into any existing Python environment (notebook, IDE, CI/CD pipelines, custom apps) using a lightweight client library, and enables users to scale popular data/ml libraries (including pandas, NumPy, scikit-learn, XGBoost, etc.) and custom code to a remote cluster for execution. Under the hood, we natively wire up Dask with Kubernetes for scheduling, which brings advantages such as dynamic resource allocation, ephemeral clusters and autoscaling, while abstracting the devops complexity for developers and data scientists. Our vision is to build the orchestration layer for distributed computing in Python. We’re starting off with Dask, but have goals of supporting other frameworks such as Ray and Modin in the future. Some of the cool use cases we’ve seen from our users are: Bursting to the cloud from local dev environments for data and memory intensive computations Standing up managed Dask and Kubernetes clusters programmatically in 3-4 lines of Python, without any devops knowledge (Docker, k8s etc.) Parallelize existing codebases in pandas, NumPy, scikit-learn, XGBoost etc. with minimal code changes, without opting for a more complex system such as Spark Currently, users can download our client library and run Dask workloads on our fully managed cluster (see docs). We’re working on adding the capability to run Garnet on your own cloud (Kubernetes) in an upcoming release. We’re excited to hear your feedback, and what you’d like to see. Please drop your email on our website so we can get in touch directly. January 22, 2021 at 04:49PM

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Show HN: Rysolv – Fix open source issues, get paid https://ift.tt/3paun7tTHE RIGHT PEOPLE https://ift.tt/3pcjbXVTHE RIGHT PEOPLE https://ift.tt/3sNQhj1 https://ift.tt/3sNQhj1THE RIGHT PEOPLE https://ift.tt/3sRCdVyTHE RIGHT PEOPLE https://ift.tt/3iFdkrJ https://ift.tt/3iFdkrJ

Show HN: Rysolv – Fix open source issues, get paid https://ift.tt/2WCT0wR January 22, 2021 at 07:14PM

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(https://ift.tt/3bYH2qe

via Blogger https://ift.tt/2KFX50N

(https://ift.tt/3c3SDnP

Show HN: Garnet – Distributed Python on Kubernetes https://ift.tt/3a0ibzwTHE RIGHT PEOPLE https://ift.tt/3c5qH3aTHE RIGHT PEOPLE https://ift.tt/3c5wLbC https://ift.tt/3c5wLbC

Show HN: Garnet – Distributed Python on Kubernetes Garnet (https://garnet.ai) is a framework to run distributed and parallel Python on Kubernetes. We make it easy to scale from laptop to cluster, without requiring any devops work. Garnet plugs into any existing Python environment (notebook, IDE, CI/CD pipelines, custom apps) using a lightweight client library, and enables users to scale popular data/ml libraries (including pandas, NumPy, scikit-learn, XGBoost, etc.) and custom code to a remote cluster for execution. Under the hood, we natively wire up Dask with Kubernetes for scheduling, which brings advantages such as dynamic resource allocation, ephemeral clusters and autoscaling, while abstracting the devops complexity for developers and data scientists. Our vision is to build the orchestration layer for distributed computing in Python. We’re starting off with Dask, but have goals of supporting other frameworks such as Ray and Modin in the future. Some of the cool use cases we’ve seen from our users are: Bursting to the cloud from local dev environments for data and memory intensive computations Standing up managed Dask and Kubernetes clusters programmatically in 3-4 lines of Python, without any devops knowledge (Docker, k8s etc.) Parallelize existing codebases in pandas, NumPy, scikit-learn, XGBoost etc. with minimal code changes, without opting for a more complex system such as Spark Currently, users can download our client library and run Dask workloads on our fully managed cluster (see docs). We’re working on adding the capability to run Garnet on your own cloud (Kubernetes) in an upcoming release. We’re excited to hear your feedback, and what you’d like to see. Please drop your email on our website so we can get in touch directly. January 22, 2021 at 04:49PM

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(https://ift.tt/39ViGuW