Cryptool.io
Zerion
Zapper.fi
Apache Airflow
Make.com
ifttt
Pushwoosh
Pipefy
Microsoft Power Automate
Kissflow
Process Street
Cryptool.io (also written Cryptool) is a portfolio and asset management platform with fund management tools, built for investment groups, syndicates and fund managers.
Modules: Portfolio (multi-wallet, all chains, EVM and non-EVM), Raise (fundraising and IDO management), Market (OTC desk, over-the-counter order matching), Invest (co-investing and syndicate management), Calendar (deal and event management), Fund Admin, Automated Compliance, and Investor Reporting.
The platform is non-custodial and multi-wallet: add any number of wallets from any provider on any chain, log in with any of them, and manage them all from one account. On-chain modules currently run on EVM and MultiversX, with more chains rolling out.
Cryptool.io has 15,000+ registered users, has facilitated $10M+ raised, and has launched 25+ pools. There is no Cryptool token.
Cryptool.io Apache AirflowApache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.
Cryptool helps solve the problem of having to use multiple tools to keep track of crypto investments and important events. Having portfolio tracking, investment information, and things like unlocks and vesting in one place makes it easier for me to stay organized and saves me time. Overall, itโs made managing and keeping up with my crypto activities more convenient.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 80 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.
General orchestrators โ Airflow, Prefect, AWS Step Functions, Azure Logic Apps. These treat Each LLM call as just another task in a DAG, and give you the heavyweight reliability Machinery: durable state, scheduling, checkpointing, audit trails, human approval. - Source: dev.to / about 1 month ago
There is a lot of stuff for Python which follows the "express computation as a dag" approach, especially Apache Airflow https://airflow.apache.org/. - Source: Hacker News / 11 months ago
Doing ingestion or data processing with Airflow, a very popular open-source platform for developing and running workflows, is a fairly common setup. DataHub's automatic lineage extraction works great with Airflow - provided you configure the Airflow connection to DataHub correctly. - Source: dev.to / about 1 year ago
Apache Airflow represents the open-source workflow orchestration approach to MongoDB ETL. By combining Airflow's powerful scheduling and dependency management with a Python library like PyMongo, you can build highly customized ETL workflows that integrate seamlessly with MongoDB. - Source: dev.to / about 1 year ago
You appear to be making the mistake of assuming that the only valid definition for the term "workflow" is the definition used by software such as https://airflow.apache.org/ https://www.merriam-webster.com/dictionary/workflow thinks the word dates back to 1921. There no reason Anthropic can't take that word and present their own alternative definition for it in the context of LLM tool usage, which is what they've... - Source: Hacker News / about 1 year ago
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