wallet
orchest
wallet | orchest | |
---|---|---|
23 | 44 | |
164 | 4,022 | |
4.3% | 0.1% | |
9.9 | 4.5 | |
6 days ago | 12 months ago | |
TypeScript | TypeScript | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wallet
- Valora | A mobile payments app that works worldwide | $AMP Verified Coming SOON
- Is there any open-source high-traffic, enterprise React application written in TypeScript with best practices?
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Celo: Financial Prosperity for Everyone | Hex Trust
What really makes the Celo protocol stand out is its ability to solve two fundamental barriers to using crypto as a means of payment: ease of use and purchasing power volatility. The mobile-first Valora wallet built on Celo is a social payment application-oriented around overcoming these exact barriers through phone number verification and stable-value assets. Crypto addresses are linked to using mobile phone numbers, making crypto transactions as easy as sending a text message. The application also provides minimal volatility of assets through the use of stablecoins, countering any concerns of payment made with volatile assets. Access to other dApps in the Celo ecosystem, decentralized exchanges, lending opportunities within DeFi, and exploration of NFT collections are all available on the same platform — facilitating interoperability and enhancing user experience.
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Pilot Spotlight: How Celo and Mercy Corps Ventures Partnered to Benefit Microworkers in Kenya
The initial training, conducted by local partner, NairoBits, provided participants with guidance on cryptocurrency and cUSD transactions, how to complete microwork tasks, and how to cash out earnings to M-Pesa. After that phase, all 200 Kenyan participants went on to complete digital microwork tasks provided by Appen via the Toca app (now Corsali). Within a few seconds of completing their tasks in Corsali, participants were paid in cUSD. After linking their Corsali account to the Valora.app, a popular cryptocurrency wallet built on Celo, participants were able to transfer their earnings into Valora for a fee of only 0.02%, regardless of transaction size.
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Valora Supercharge: 25% APY on Celo stablecoins! (up to $/€1000)
All you have to do is download the Valora app, a Celo wallet, and fund it by buying cUSD or cEUR, which you can do from the app directly.
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Get Your Dapp Featured in Valora (4 dapps will also receive 10k cUSD)
Valora Deeplinks for integrating with Valora
- Solana Pay , Phantom, Citcon, Wormhole....
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Best places to receive some yield on stablecoins ?
you can get 50% APY on cUSD (USD stablecoin on celo) or cEUR (EUR stablecoin on celo) using the Valora wallet on the Celo blockchain. Can learn more on the blog
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Crypto Christmas !? How should I gift crypto to family ? Which coin ?
Gift them Celo using Valora. You can send them money even if they don’t have a wallet yet by sending it to their phone number.
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What is the Celo mobile-first DeFi platform?
Download a mobile-first wallet or Celo wallet and start using Celo ecosystem. Metamask is appropriate for DeFi dapps.
orchest
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Decent low code options for orchestration and building data flows?
You can check out our OSS https://github.com/orchest/orchest
- Build ML workflows with Jupyter notebooks
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Building container images in Kubernetes, how would you approach it?
The code example is part of our ELT/data pipeline tool called Orchest: https://github.com/orchest/orchest/
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
First want to say congrats to the Patterns team for creating a gorgeous looking tool. Very minimal and approachable. Massive kudos!
Disclaimer: we're building something very similar and I'm curious about a couple of things.
One of the questions our users have asked us often is how to minimize the dependence on "product specific" components/nodes/steps. For example, if you write CI for GitHub Actions you may use a bunch of GitHub Action references.
Looking at the `graph.yml` in some of the examples you shared you use a similar approach (e.g. patterns/openai-completion@v4). That means that whenever you depend on such components your automation/data pipeline becomes more tied to the specific tool (GitHub Actions/Patterns), effectively locking in users.
How are you helping users feel comfortable with that problem (I don't want to invest in something that's not portable)? It's something we've struggled with ourselves as we're expanding the "out of the box" capabilities you get.
Furthermore, would have loved to see this as an open source project. But I guess the second best thing to open source is some open source contributions and `dcp` and `common-model` look quite interesting!
For those who are curious, I'm one of the authors of https://github.com/orchest/orchest
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Argo became a graduated CNCF project
Haven't tried it. In its favor, Argo is vendor neutral and is really easy to set up in a local k8s environment like docker for desktop or minikube. If you already use k8s for configuration, service discovery, secret management, etc, it's dead simple to set up and use (avoiding configuration having to learn a whole new workflow configuration language in addition to k8s). The big downside is that it doesn't have a visual DAG editor (although that might be a positive for engineers having to fix workflows written by non-programmers), but the relatively bare-metal nature of Argo means that it's fairly easy to use it as an underlying engine for a more opinionated or lower-code framework (orchest is a notable one out now).
- Ideas for infrastructure and tooling to use for frequent model retraining?
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Looking for a mentor in MLOps. I am a lead developer.
If you’d like to try something for you data workflows that’s vendor agnostic (k8s based) and open source you can check out our project: https://github.com/orchest/orchest
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Is there a good way to trigger data pipelines by event instead of cron?
You can find it here: https://github.com/orchest/orchest Convenience install script: https://github.com/orchest/orchest#installation
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How do you deal with parallelising parts of an ML pipeline especially on Python?
We automatically provide container level parallelism in Orchest: https://github.com/orchest/orchest
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Launch HN: Sematic (YC S22) – Open-source framework to build ML pipelines faster
For people in this thread interested in what this tool is an alternative to: Airflow, Luigi, Kubeflow, Kedro, Flyte, Metaflow, Sagemaker Pipelines, GCP Vertex Workbench, Azure Data Factory, Azure ML, Dagster, DVC, ClearML, Prefect, Pachyderm, and Orchest.
Disclaimer: author of Orchest https://github.com/orchest/orchest
What are some alternatives?
celo-monorepo - Official repository for core projects comprising the Celo platform
docker-airflow - Docker Apache Airflow
blackjack-basic-strategy - A computer vision powered Blackjack basic strategy app powered by Roboflow.
hookdeck-cli - Receive events (e.g. webhooks) in your development environment
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
cost-model - Cross-cloud cost allocation models for Kubernetes workloads [Moved to: https://github.com/kubecost/opencost]
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
tesseract - Deterministic physics engine for Argo Navis
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Gravitational Teleport - The easiest, and most secure way to access and protect all of your infrastructure.
Node RED - Low-code programming for event-driven applications