Waydev
LinearB
GitPrime
Swarmia
Haystack Analytics
CodeClimate
OKAY HQ
66Analytics
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
NLTK
PyNLPl
Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.
WaydevBased on our record, spaCy seems to be a lot more popular than Waydev. While we know about 65 links to spaCy, we've tracked only 2 mentions of Waydev. 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.
For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: about 4 years ago
When youโre ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / almost 5 years ago
We use spaCyโs en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go. - Source: dev.to / 4 months ago
For NER, if accuracy is critical, go with an LLM โ even an old one like gemma-3-27b-it will outperform tools or small models trained for this task. But by using an LLM you are exposing your data, making an HTTP request, and most likely incurring a cost. If accuracy is not critical and you want to stay in Javascript, compromise is a good package for NER. If you want an even better package and it's OK not using... - Source: dev.to / 5 months ago
For more advanced food label AI, combine pattern matching with Named Entity Recognition (NER). Libraries like spaCy (Python) or compromise (JavaScript) can identify amounts, units, and nutrient names even in noisy text. - Source: dev.to / 6 months ago
For complex or highly variable menus, consider using NLP libraries like spaCy (Python) or fine-tuning a transformer-based NER model (e.g., BERT) to identify dish names and prices. - Source: dev.to / 6 months ago
Open-Source NLP Libraries: Python libraries like spaCy, NLTK, and Hugging Face Transformers for building custom models. - Source: dev.to / 8 months ago
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Amazon Comprehend - Discover insights and relationships in text
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
Google Cloud Natural Language API - Natural language API using Google machine learning
Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
