zcal
Cal.com
Calendly
Cron
TidyCal
SavvyCal
Koalendar
Vimcal
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
Say goodbye to cold, impersonal scheduling links. Use zcal to create beautiful, personalized booking pages that make a great first impression on your guests. It's 100% Free Forever 🔥!
If everyone agrees that scheduling links help save time, then why are they so universally unloved? Today most booking pages present nothing more than a name and a calendar, so as the person receiving the link, the process of booking a time can feel cold and transactional.
💯 Unique zcal features
zcal DatabricksBased on our record, Databricks should be more popular than zcal. It has been mentiond 17 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.
>ended up just switching over to https://zcal.co and it has been great so far Wait wait wait. It can sync my Google and Outlook calendars into a single scheduling service, and they're not charging me anything? What's the catch here? - Source: Hacker News / over 1 year ago
I've poked around a while ago at some Calendly alternatives (specifically was looking for something that was cheaper than Calendly with most of the basic features). I tried using cal.com for a bit but ended up just switching over to https://zcal.co. All these scheduling apps end up trying to do too much and always seem to end up a bit clunky. - Source: Hacker News / over 1 year ago
There's an even a freer alternative, not FOSS though. http://zcal.co It also allows connection to multiple calendars. - Source: Hacker News / over 1 year ago
Check out zcal.co. Reclaim.ai also works for this as well! Source: over 1 year ago
I usually just use https://zcal.co/ when I need to work out a time slot with some players. Source: almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Cron - Cron Calendar.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
