Streamlit
Anvil.works
FastAPI
Gradio
Hugging Face
Flet
Apache Superset
Voilร
Split Fee
Unbench
Split Fee is a platform for UK recruitment agencies to collaborate on permanent placements.
Every agency has candidates they can't place and vacancies they can't fill. Another agency almost certainly has what you need โ but finding them, trusting them, and making the collaboration work has always been the hard part.
Split Fee solves this. Post your candidates and vacancies to the platform. Our matching algorithm finds opportunities across every agency on the network โ by skills, location, salary, and seniority. Candidate and client data stays anonymised until both sides agree to work together. When a placement is made, we handle the fee split and invoicing automatically.
No more posting in social media groups and hoping someone replies. No more sharing candidate details with strangers on trust alone. No more chasing invoices from agencies you barely know.
45% for you. 45% for them. 10% platform fee โ only when a placement is made.
Half of a placement fee is infinitely better than none of it.
Streamlit Split FeeNo features have been listed yet.
Streamlit is ideal for data scientists, analysts, and developers looking to rapidly prototype and deploy data-driven applications. It is recommended for those who prioritize simplicity, quick deployment, and seamless integration with Python code. Individuals or teams interested in building dashboards, ML model sharing platforms, or interactive reports will find Streamlit particularly useful.
No Split Fee videos yet. You could help us improve this page by suggesting one.
Split Fee's answer:
A next-generation serverless platform, built for AWS.
Split Fee's answer:
Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.
Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.
Split Fee's answer:
Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.
Split Fee's answer:
UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.
Split Fee's answer:
Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.
Based on our record, Streamlit seems to be more popular. It has been mentiond 219 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.
Streamlit makes it simple to turn Python scripts into shareable data apps. As these apps move from personal notebooks to team and company use, adding secure authentication and single sign-on (SSO) becomes essential. Authentication protects sensitive data and gates features by user identity. SSO lets people sign in once and move across apps without repeating logins. - Source: dev.to / 4 months ago
The app I built to explore that question is a Streamlit app with two modes. Standard mode sends your image to the DetectLabels API and checks if it returns "Egg" or "Easter Egg" in the labels. Custom Labels mode uses a custom model I trained on my own images. Both draw bounding boxes around any eggs they find. - Source: dev.to / 4 months ago
Once you've completed your analysis, consider building a dashboard to visualize your findings. Tools like Streamlit make it easy to create interactive web apps:. - Source: dev.to / 5 months ago
Title: [TIL][Python] Online PDF Page-by-Page Viewing and Comparison Tool for Importing Data (Python online PDF Viewer and comparison) and Python Snippets Published: false Date: 2023-08-04 00:00:00 UTC Tags: Canonical_url: http://www.evanlin.com/til-python-tips/ --- ## Small Project: Online PDF Viewer and Parse Data compare: -... - Source: dev.to / about 3 years ago
Javelit brings the power of rapid prototyping and interactive web app development to the Java ecosystem, much like Streamlit does for Python. With its simple, loop-based programming model, developers can quickly build data-driven applications without needing extensive frontend knowledge, leveraging familiar Java syntax and the rich JVM ecosystem. The live-reload feature enables instant experimentation and... - Source: dev.to / 8 months ago
Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.
Unbench - Beyond recruitment, Unbench became a dynamic matchmaking platform, efficiently connecting companies with top specialists.
FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
Gradio - Build & share machine learning apps delightfully.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Flet - Build internal web apps quickly in the language you already know.