Papers with Code VS Mind Diary
Compare Papers with Code VS Mind Diary and see what are their differences
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next.
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Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
Mind Diary
WriteUpp
Cliniko
Power Diary
Kiku
Jane
TheraNest
Mentalyc
MindDiary is an all-in-one practice management and between-session engagement platform built specifically for therapists, counsellors, psychotherapists, psychologists, group practices, and therapy clinics.
MindDiary brings the client journey into one connected workspace — from initial enquiry and digital intake through appointments, sessions, between-session work, documentation, and practice administration.
Therapists can create digital intake forms, capture and manage leads, schedule appointments, conduct telehealth sessions, prepare for upcoming sessions using relevant client context, and create therapist-reviewed AI-assisted clinical note drafts.
A key difference is MindDiary's focus on what happens between therapy sessions. Clients can use journaling, mood tracking, guided reflections, homework, and check-ins between appointments. Relevant information can then contribute to session preparation, helping therapists maintain continuity instead of treating every appointment as an isolated event.
MindDiary also provides public therapist profiles and lead forms, client management, appointment reminders, invoicing, and revenue follow-up tools to help practices reduce administrative work and keep important tasks from falling through the cracks.
AI is used to assist therapists rather than replace professional judgement. Therapists remain in control of clinical documentation and how client information is used.
By combining practice management, clinical workflow support, and between-session engagement, MindDiary aims to reduce the number of disconnected tools therapists need while giving them better context for each client relationship.
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Mind Diary's answer:
MindDiary does not currently publicly disclose individual customer or practice names.
Mind Diary's answer:
MindDiary connects what happens before, during, and between therapy sessions in one workspace. Alongside practice management features such as digital intake, appointments, telehealth, invoicing, and therapist-reviewed AI notes, MindDiary helps therapists maintain continuity between sessions through client journaling, check-ins, homework, and session preparation. Instead of treating each appointment as an isolated event, MindDiary brings relevant client context together over time so therapists can prepare for sessions with a clearer picture of progress, concerns, and between-session activity. AI-assisted features support the therapist rather than replacing professional judgement.
Mind Diary's answer:
MindDiary is designed specifically around therapy workflows rather than being a generic scheduling or medical practice-management system. It combines digital intake, client management, session preparation, therapist-reviewed AI note drafting, telehealth, appointments, invoicing, revenue follow-up, journaling, homework, and between-session check-ins in one platform. A key difference is MindDiary's focus on between-session engagement and longitudinal client context. Therapists can use permissioned journal entries, check-ins, homework, recent sessions, and other relevant information to prepare for upcoming appointments instead of piecing context together across multiple disconnected tools.
Mind Diary's answer:
MindDiary is built for counsellors, psychotherapists, therapists, psychologists, group practices, and therapy clinics. It is particularly suited to practitioners who want to reduce administrative work while improving continuity of care through digital intake, session preparation, clinical documentation support, client journaling, homework, check-ins, appointments, telehealth, and practice-management tools. MindDiary currently has a particular focus on therapy practices in Ireland and the United Kingdom, while the platform is designed to support therapists internationally.
Mind Diary's answer:
MindDiary was created around a simple observation: therapy software typically concentrates on what happens inside the appointment, while much of the useful context develops between sessions. Therapists often have intake information, notes, journals, homework, appointments, invoices, and client communications spread across different systems. MindDiary was built to bring these workflows together and make relevant longitudinal client context easier to use when preparing for the next session. The goal is not to automate therapy or replace clinical judgement. It is to give therapists a better workspace for understanding context, reducing administration, maintaining continuity between sessions, and running their practice.
Mind Diary's answer:
MindDiary is a modern cloud-based web application built primarily with React and TypeScript on the frontend and .NET/C# services on the backend. Its infrastructure uses technologies including AWS, Cloudflare, PostgreSQL, Stripe, and modern AI/LLM services. The platform is designed with security, privacy, scalability, and therapist control over AI-assisted workflows in mind.
Based on our record, Papers with Code seems to be more popular. It has been mentiond 100 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.
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 9 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / about 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
ML5.js - Friendly machine learning for the web
WriteUpp - WriteUpp is a cloud-based practice management software for health and wellbeing professionals.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Cliniko - Cliniko offers affordable healthcare practice management software.
Spell - Deep Learning and AI accessible to everyone
Power Diary - The practice management software loved by over 27,000 practitioners. Includes appointments, reminders, online bookings, notes, payments & more.