Guides
Find clear guides to Nightscout, AAPS, xDrip+, Juggluco, Libre, Dexcom and bolus calculations. Our aim is to explain complex topics in plain language and help you turn your data into useful insights.
Where to start
If you already use Nightscout or AAPS, start by connecting and reviewing your data. If you are new to the service, you can first try a homepage demo: a food photo or glucose-chart screenshot analysis.
What you can already do in Dia.best
Estimate carbohydrates from a food photo
Quickly estimate a meal from a photo to help inform a bolus decision.
Analyze a chart screenshot
A short AI demonstration based on one screenshot of a glucose chart.
Data analysis in your dashboard
After signing in, connect Nightscout to use the full data-analysis features.
Guides in this section
How to connect Nightscout
Step-by-step instructions in plain language: what you need, where to enter it and how to check the connection.
Connect Nightscout in 3 minutes
How Nightscout helps with both insulin pens and pumps, what to prepare and what to check after connecting.
How to read Nightscout reports
TIR, TBR, TAR, GMI, glucose variability and overnight episodes explained in plain language.
How to review AAPS settings
How recurring patterns can help identify possible issues with basal insulin, ICR, ISF and other settings.
xDrip+ and Nightscout
When this connection is useful, how to check it and which errors to look for first.
Juggluco and Nightscout
How data is transferred and what to check when synchronization is unreliable.
Libre, Dexcom and other sensors
Separate guides to common combinations and ways to use them.
Nightscout data analysis
How to spot recurring lows, high glucose after meals and other persistent patterns in your data.
Lows and high glucose in Nightscout
How Nightscout charts and events can help identify possible causes of falling or persistently high glucose.
Calculating a bolus from a food photo
How meal-photo estimates work, what affects their accuracy and how they can simplify pre-meal calculations.
AAPS analysis: spotting possible issues
How AAPS charts can reveal recurring issues with basal insulin, ICR and ISF so that changes are based on evidence.
Frequent overnight AAPS corrections: what they may mean
How overnight AAPS corrections can reveal recurring patterns so that changes are based on evidence.
Why glucose rises in the morning in type 1 diabetes
How charts can reveal recurring morning rises and help distinguish overnight effects, meals and the dawn phenomenon.
High morning glucose after a stable night in type 1 diabetes
How charts can reveal recurring causes of a morning rise after a stable night, without jumping to conclusions.
How to recognize when basal insulin may be too high or too low
Which overnight and daytime patterns may suggest basal-insulin issues, without drawing conclusions from a single episode.
How to distinguish an ICR issue from an ISF issue
Which recurring patterns to look for after meals and corrections so that changes are based on evidence.
How charts can suggest that ISF is too strong or too weak
Which recurring patterns to look for after corrections so that changes are based on evidence.
Why glucose rises after meals in type 1 diabetes
How charts can reveal recurring causes of high glucose after meals, without jumping to conclusions.
Why glucose rises at night in type 1 diabetes
How charts can reveal recurring causes of overnight glucose rises, without jumping to conclusions.
Why glucose rises before bed in type 1 diabetes
How charts can reveal recurring causes of evening glucose rises, without jumping to conclusions.
Why glucose falls at night in type 1 diabetes
How charts can reveal recurring causes of overnight glucose drops, without jumping to conclusions.
Why glucose does not fall after a correction in type 1 diabetes
How charts can reveal recurring causes of an insufficient correction effect, without jumping to conclusions.
Why glucose falls too far after a correction in type 1 diabetes
How charts can reveal recurring causes of an excessive correction effect, without jumping to conclusions.
Glucose correction safety in type 1 diabetes
Which recurring chart patterns to look for to avoid overly aggressive corrections and premature conclusions.
Why glucose rises after a low in type 1 diabetes
How charts can reveal recurring causes of a glucose rise after a low, without jumping to conclusions.
Why these guides matter
Good data is hard to use if it is difficult to interpret. Our guides focus on practical tasks: connecting apps, reading reports, understanding errors and finding clear first steps.
Would you like to analyze your own data?
Try Dia.best: upload a food photo, analyze a chart screenshot or connect Nightscout in your dashboard.