Cyclr is a SaaS integration toolkit for SaaS platforms and app developers, providing a complete solution to serve your customers integration needs -- all from within your application. Cyclr enables you to deliver integrations to 100s of popular apps and services with low-code and low engineering overhead. Cyclr also handle all the updates, cutting development teams integration maintenance overhead.
Integrations are created using a drag and drop designer, enabling members of your wider teams (customer success, sales and support) to build and publish new integrations and workflows in minutes.
Integrations can then be published directly into your application so your users can self-serve. This can be achieved by building your own UI on top of Cyclr's fully featured API, or through deploying their white-labelled and completely customisable embedded marketplace.
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This is the best platform to use. You can rely on this platform for different kind of work. Highly recommended
Based on our record, spaCy seems to be a lot more popular than Cyclr. While we know about 58 links to spaCy, we've tracked only 1 mention of Cyclr. 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.
Other good solutions with similar features would be PieSync, Automate.io, Zapier, Cyclr, Workato. All of these app integrations allow you to connect your Mailchimp account with your SaaS app (in your case with your database). Source: about 3 years ago
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
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