From 0c042adabc365fd59a318e17a36dcd39c512187d Mon Sep 17 00:00:00 2001 From: Stefan Krawczyk Date: Fri, 6 Dec 2024 11:26:14 -0800 Subject: [PATCH] Adds testimonials Since we need them. --- README.md | 54 ++++++++++++++++++++++++++++ docs/conf.py | 1 + docs/main.rst | 65 +++++++++++++++++++++++++++++++++ docs/make_testimonials.py | 76 +++++++++++++++++++++++++++++++++++++++ 4 files changed, 196 insertions(+) create mode 100644 docs/make_testimonials.py diff --git a/README.md b/README.md index 89896b1d..1b47729c 100644 --- a/README.md +++ b/README.md @@ -150,6 +150,60 @@ We imagine a world in which Burr and Hamilton lived in harmony and saw through t built Burr as a _harness_ to handle state between executions of Hamilton DAGs (because DAGs don't have cycles), but realized that it has a wide array of applications and decided to release it more broadly. +## Testimonials + +
+
+
+

"After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision making."

+

Ashish Ghosh

+ CTO, Peanut Robotics +
+
+
+
+

"Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. Honestly, take a look at Burr. Thank me later."

+

Reddit User

+ LocalLlama, Subreddit +
+
+
+
+

"Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with and I especially love their UI which makes debugging, a piece of cake. And the always ready to help team, is the cherry on top."

+

Ishita

+ Founder, Watto.ai +
+
+
+
+

"I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI."

+

Matthew Rideout

+ Staff Software Engineer, Paxton AI +
+
+
+
+

"Burr's state management part is really helpful for creating state snapshots and build debugging, replaying and even building evaluation cases around that"

+

Rinat Gareev

+ Senior Solutions Architect, Provectus +
+
+
+
+

"I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors."

+

Hadi Nayebi

+ Co-founder, CognitiveGraphs +
+
+
+
+

"Moving from LangChain to Burr was a game-changer!
Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain.
Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases.
Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since."

+

Aditya K.

+ Co-founder, TaskHuman +
+
+
+ ## 🛣 Roadmap While Burr is stable and well-tested, we have quite a few tools/features on our roadmap! diff --git a/docs/conf.py b/docs/conf.py index 7713e750..efa9e0a8 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -34,6 +34,7 @@ html_css_files = [ "custom.css", + "testimonials.css", ] html_title = "Burr" diff --git a/docs/main.rst b/docs/main.rst index 693d4412..a8933d5c 100644 --- a/docs/main.rst +++ b/docs/main.rst @@ -25,3 +25,68 @@ We also ask that you: - Report any bugs, issues, or feature requests via `GitHub Issues `_ or \ `GitHub Discussions `_. - Give us a star on `GitHub `_ if you like the project! + + +Testimonials +============ + +.. raw:: html + + +
+
+
+

"After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision making."

+

Ashish Ghosh

+ CTO, Peanut Robotics +
+
+ +
+
+

"Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. Honestly, take a look at Burr. Thank me later."

+

Reddit User

+ LocalLlama, Subreddit +
+
+ +
+
+

"Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with and I especially love their UI which makes debugging, a piece of cake. And the always ready to help team, is the cherry on top."

+

Ishita

+ Founder, Watto.ai +
+
+ +
+
+

"I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI."

+

Matthew Rideout

+ Staff Software Engineer, Paxton AI +
+
+ +
+
+

"Burr's state management part is really helpful for creating state snapshots and build debugging, replaying and even building evaluation cases around that"

+

Rinat Gareev

+ Senior Solutions Architect, Provectus +
+
+ +
+
+

"I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors."

+

Hadi Nayebi

+ Co-founder, CognitiveGraphs +
+
+ +
+
+

"Moving from LangChain to Burr was a game-changer!
Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain.
Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases.
Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since."

+

Aditya K.

+ Co-founder, TaskHuman +
+
+
diff --git a/docs/make_testimonials.py b/docs/make_testimonials.py new file mode 100644 index 00000000..01a2a503 --- /dev/null +++ b/docs/make_testimonials.py @@ -0,0 +1,76 @@ +card_template = """ +
+
+

"{user_quote}"

+

{user_name}

+ {user_title}, {user_company} +
+
""" + +testimonials = [ + { + "user_name": "Ashish Ghosh", + "user_title": "CTO", + "user_company": "Peanut Robotics", + "user_quote": "After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management " + "solution proved to be the powerful answer to rolling out robots driven by AI decision making.", + "image_link": "", + }, + { + "user_name": "Reddit User", + "user_title": "LocalLlama", + "user_company": "Subreddit", + "user_quote": "Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], " + "we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. " + "Honestly, take a look at Burr. Thank me later.", + "image_link": "", + }, + { + "user_name": "Ishita", + "user_title": "Founder", + "user_company": "Watto.ai", + "user_quote": "Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build " + "with and I especially love their UI which makes debugging, a piece of cake. And the always ready " + "to help team, is the cherry on top.", + "image_link": "", + }, + { + "user_name": "Matthew Rideout", + "user_title": "Staff Software Engineer", + "user_company": "Paxton AI", + "user_quote": "I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when" + " building this. No weird esoteric concepts just because it's AI.", + "image_link": "", + }, + { + "user_name": "Rinat Gareev", + "user_title": "Senior Solutions Architect", + "user_company": "Provectus", + "user_quote": "Burr's state management part is really helpful for creating state snapshots and build debugging, " + "replaying and even building evaluation cases around that", + "image_link": "", + }, + { + "user_name": "Hadi Nayebi", + "user_title": "Co-founder", + "user_company": "CognitiveGraphs", + "user_quote": "I have been using Burr over the past few months, and compared to many agentic LLM platforms out " + "there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework" + " for designing complex behaviors.", + "image_link": "", + }, + { + "user_name": "Aditya K.", + "user_title": "Co-founder", + "user_company": "TaskHuman", + "user_quote": "Moving from LangChain to Burr was a game-changer! " + "
Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. " + "
Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases. " + "
Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since.", + "image_link": "", + }, +] + +# code to generate testimonials +for testimonial in testimonials: + print(card_template.format(**testimonial))