OptiRefine

High-Fidelity Python Data Annotation for AI Models

Human-in-the-loop code generation, debugging, and verification to train your next coding assistant

Fast turnaround • Low cost • Human-reviewed quality


OptiScan

We're excited to introduce OptiScan, the powerful new web app from OptiRefine. Optiscan leverages ATS, CST, AND CTS to automatically detect and eliminate code bottlenecks, significantly improving performance. Instantly analyze your projects, receive precise refractor suggestions, and ensure code quality for production-ready code. Boost your development today with OptiScan.


Proof

Before

# Problem: Finding duplicate user IDs in a large datasetdef getduplicates(userlist):duplicates = []for i in range(len(userlist)):
for j in range(i + 1, len(user
list)):
# Nested loop causes exponential slowdown
if userlist[i] == userlist[j]:
# Checking 'if in list' adds more overhead
if userlist[i] not in duplicates:duplicates.append(userlist[i])return duplicates# Result: O(n^2) complexity. Takes 30+ seconds for 50,000 records.

After

# Problem: Finding duplicate user IDs in a large dataset
def getduplicates(userlist):
seen = set()
duplicates = set()
for userid in userlist:
if userid in seen:
duplicates.add(user
id)
else:
seen.add(user_id)
return list(duplicates)# Result: Instant execution (0.01s) even with 1,000,000+ records.