Quasar® is the first native Cloud file QC service and helps users perform file-based QC on cloud assets with ease. Encompassing all the features of Pulsar and built natively for the cloud, Quasar® promises the fastest rate of QC in the cloud.
It offers dynamic scaling with ability to process hundreds of assets at the same time. It provides stringent content security measures such as IAM roles support, Pre-authenticated URL and Whitelisting. Quasar® is offered as a SaaS service wherein Venera runs & manages the Quasar infrastructure. Users can integrate Quasar using REST API or can use the system manually via web browser. Tiered usage-based subscription plans are available for different content volume needs.
Quasar® supports all major broadcast formats, IMF/DCP packages as well as VOD formats such as adaptive bitrate formats. Quasar also allows users to perform advanced QC checks for HDR along with Photosensitive Epilepsy validation using the industry defacto standard Harding PSE.
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Based on our record, SimFin seems to be more popular. It has been mentiond 5 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.
Https://simfin.com/ is a data provider that uses python API's. The site has many examples of how to use the datasets https://github.com/SimFin/simfin-tutorials You have to pay for the recent data, but the older data is free. Source: about 2 years ago
I am trying to identify companies that, as Warren Buffet advised, have " ... Strong histories of profitability and with a dominant business franchise". I have written a screener in python, that uses SimFin https://simfin.com/ data to find companies that meet my criteria. I am not trying to ascertain if these companies are at an attractive purchase point, only if they would be a company I would want to own. I... Source: over 2 years ago
I know simfin.com, which is great for US but pretty useless for everything else (Germany has 32 tickers... that's an order of magnitude too small). Source: over 2 years ago
If you just need simplified data and aren't too picky on the 20 years, simfin is also useful. Source: over 2 years ago
For bulk standardized datasets then simfin should have you covered (though somethings are a bit iffy). Source: almost 3 years ago
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