CipherStash is the ultimate in data security. Our products use advanced queryable encryption technology that keeps data encrypted-in-use, rather than just at-rest. This ensures that access controls are always applied and guarantees that every data access is logged. CipherStash shows you the who, what, where, and when of how sensitive data is accessed - even when it leaves core systems. CipherStash works in your existing databases, data lakes, and data warehouses via a drop-in driver replacement. An SDK is also available to support more sophisticated use cases.
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Based on our record, Pyright seems to be a lot more popular than CipherStash. While we know about 13 links to Pyright, we've tracked only 1 mention of CipherStash. 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.
Static Type Checking with PyRight: Improve code quality and reduce bugs with PyRight, a static type checking feature not available in R. This proactive error detection ensures your applications are reliable, before you even start them. - Source: dev.to / about 2 months ago
Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified. - Source: dev.to / 4 months ago
You can use pyright instead[0]. It is the FOSS version of pyright, but having some features missing. [0]: https://github.com/microsoft/pyright. - Source: Hacker News / 10 months ago
This is not the case! After reading the LSP help pages (:help lsp), I installed and configured two language servers: Typescript Language Server for JavaScript and Pyright for Python. Neovim has fantastic defaults, so things like tags, omnicompletion, and semantic highlighting (New in 0.9) are enabled and configured by default as long as your language server supports them. You can see my configuration below. Source: about 1 year ago
I've had lots of success using pyright [1] for Python projects, it has sensible defaults and can be configured with a pyproject.toml file so everyone's using the same settings. I use the Pylance VSCode extension to catch errors earlier, but I also put it in pre-commit and as a CI check, so all contributors are committing the same quality of typed code. With more complex types, I've found it isn't necessary to do... - Source: Hacker News / over 1 year ago
(Disclaimer: I work for CipherStash, who make ActiveStash). Source: about 2 years ago
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