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lab inventory software · laboratory inventory management

Quartzy vs Labguru vs SciNote vs LabArchives Compared

September 20, 2026
15 min read

Compare Quartzy, Labguru, SciNote and LabArchives in 2026 across 25 RFP criteria, five workflow tests, inventory traceability, procurement, ELN links, compliance evidence and export paths.

Quartzy vs Labguru vs SciNote vs LabArchives Compared
Summary
  1. 01The most defensible shortlist starts with operating workflow, separating procurement-first, ELN-centric, and integrated-suite needs.
  2. 02Quartzy emphasizes request-to-receipt control, while Labguru offers a broader integrated lab-operations model.
  3. 03SciNote requires plan-specific review of paid inventory add-ons, and LabArchives keeps purchasing outside Inventory.
  4. 04No independent current benchmark compares all four products, so identical scripted demonstrations should determine selection.
  5. 05For regulated use, assess supplier evidence alongside customer validation responsibilities and intended use.
01

Executive Summary

Quartzy, Labguru, SciNote, and LabArchives Inventory solve different operating problems, so the most defensible shortlist starts with workflow, not a feature count. Quartzy is the strongest procurement-first candidate in this group: every plan includes its Shop, inventory tracking, and request workflows ([1]), it supports price-threshold approvals ([2]), and receiving can generate an immutable goods-received record ([3]). Its direct purchasing is documented as US-only ([4]).

Labguru is the broadest integrated lab-operations suite of the four based on public documentation. It connects inventory to electronic lab notebook (ELN) entries ([5]), handles shopping-list requests and partial receiving ([6]), and documents stock aliquoting ([7]). SciNote is ELN-centric and modular: storage locations and stock management are paid inventory add-ons ([8]) ([9]). LabArchives Inventory fits organizations already centered on LabArchives ELN: recorded ELN use deducts inventory automatically ([10]), while actual purchasing remains outside Inventory ([11]).

For a small lab replacing spreadsheets, shortlist Quartzy when requests and ordering dominate, and LabArchives when institutional ELN alignment dominates. A scaling biotech should compare Quartzy plus its existing ELN against Labguru as a consolidated suite, and include SciNote when notebook workflows are primary and modular add-ons are acceptable. Do not infer regulated fitness from a compliance label. FDA says Part 11 remains in effect ([12]), while the current European Commission Annex 11 requires formal agreements between a manufacturer and third parties to include clear statements of the third party’s responsibilities ([13]). Run the five-workflow proof script in this report and require a complete export before award.

1,200

Quartzy research organizations reported worldwide

March 2024

When Quartzy inventory audit trail recording was activated

90-day

LabArchives Inventory trial length

five requests

SciNote Premium export limit per user per organization per day

02

Introduction and Background

The phrase best lab inventory software hides three buying archetypes. An inventory and procurement-first system begins with a request, approval, supplier, purchase order, receipt, and stock update. An ELN-centric system begins with experimental work and links consumed materials to the record. An integrated lab-operations suite combines ELN, laboratory information management system (LIMS), inventory, equipment, and purchasing functions. NIH defines an ELN as a system used to create, store, retrieve, and share electronic research records ([14]). Inventory is related, but not identical.

This distinction determines whether a Quartzy alternative is truly substitutable. Replacing Quartzy with an ELN inventory module may improve experiment linkage but weaken native purchasing. Replacing Labguru or SciNote with a stock tracker may simplify receiving but split scientific context across systems. Selection criteria should therefore be clear, measurable, and specific to the intended operating context ([15]).

IntuitionLabs is an adjacent adviser, not an inventory-software contender. Its published life-sciences scope includes inventory, supply-chain management, and ELN/LIMS integration ([16]) ([17]), and its trust framework emphasizes intended use and validation evidence ([18]). That perspective informs the RFP method, but IntuitionLabs is not a product row.

03

Quartzy

Capabilities

Quartzy combines requests, ordering, receiving, inventory, and a supplier marketplace. Public plan documentation says core request and inventory workflows are included, as are APIs and webhooks ([19]). Instances track batches or groupings of a common item ([20]), and the mobile app can scan barcodes to update counts ([21]). A complete inventory list can be downloaded at any time ([22]).

Adoption, strengths, and limitations

Quartzy reports more than 1,200 research organizations worldwide ([23]). Its clearest advantage is request-to-receipt control. Its important boundary is geography: direct Quartzy purchasing is US-only, so non-US buyers must test the request and external-order path. Automatic purchase-order numbering is a paid add-on ([24]). Its inventory audit trail started recording events in March 2024 ([25]), so migration teams should determine how earlier history will be represented.

04

Labguru

Capabilities

Labguru is the integrated-suite option. Its shopping list manages purchase requests ([26]), while stock records can carry lot numbers, receipt dates, and custom experimental fields ([27]). It documents expiry notifications ([28]), aliquoting, and direct ELN linkage.

Integration evidence is comparatively strong. The REST application programming interface (API) offers create, read, update, and delete access to almost all data ([29]). Public-cloud single sign-on (SSO) uses Security Assertion Markup Language (SAML) ([30]), and administrators can obtain a ZIP export containing full account data ([31]).

Adoption, strengths, and limitations

Labguru is the most plausible single-system shortlist when notebook, inventory, and lab operations must share a data model. That breadth increases implementation scope, so the proof of concept should test permissions, data ownership, taxonomy, and change control. Labguru says every change is logged ([32]), but its validated-cloud page assigns performance qualification to the customer ([33]). Pricing is quote-based on the reviewed public page ([34]). Buyers should confirm which API, SSO, mobile, label, and validation functions are included in the offered tier.

No independent, current head-to-head benchmark was found for transaction latency, scan throughput, search speed, uptime, or implementation effort across all four products. That absence should remain **unknown**, not become a zero.

05

SciNote

Capabilities

SciNote is an ELN-centered platform with modular inventory functions. Protocol templates can populate linked materials into a task's Assigned Items section ([35]). Equipment bookings can start from the calendar, inventory toolbar, or item card ([36]). A RESTful API supports connections to LIMS, customer relationship management, and enterprise resource planning applications ([37]).

Adoption, strengths, and limitations

The comparison must be plan-specific. Storage Locations and Stock Management are paid add-ons, while expiry reminders sit within the Stock Management add-on ([38]). Inventory templates are documented for Premium customers ([39]). The Free edition lacks a detailed audit trail ([40]), and Premium project export is limited to five requests per user per organization per day ([41]). SciNote also states that full Part 11 adherence requires customer procedures, validation, and training ([42]).

06

LabArchives

Capabilities

LabArchives Inventory is an inventory and ordering module closely tied to the LabArchives ecosystem. Its item records include location, supplier, grant code, safety sheets, expiry, current amount, and history ([43]). Locations are hierarchical ([44]), and aliquots are discrete records with independent quantities and histories ([45]).

Adoption, strengths, and limitations

LabArchives says its products serve more than 450,000 scientists and professors ([46]). It offers a 90-day Inventory trial ([47]). SSO and developer API access are Enterprise controls ([48]). UTHealth describes the companion Scheduler as coordinating major equipment across lab groups ([49]). The material limitation is purchasing scope: Inventory tracks orders, but the purchase itself occurs in an institutional system or with the vendor.

07

Feature Comparison

Table 1 summarizes the documented operating model. “Verify” means public evidence was insufficient to make a plan-level claim, not that the feature is absent.

T.01
WorkflowQuartzyLabguruSciNoteLabArchives Inventory
Primary orientationProcurement plus inventoryIntegrated ELN/LIMS plus inventoryELN with modular inventoryInventory tied to ELN ecosystem
Request and approvalNative requests, price-threshold approvals ([2])Shopping-list requests and permissions ([26])Verify offered workflowOrders module, purchase external ([11])
Lots and aliquotsInstances for batchesStock aliquotsVerify aliquot lineageDiscrete aliquot records
Barcode/mobileMobile count scanningVerify offered tierVerify offered add-onVerify offered tier
ELN linkageIntegration-dependentNative linkageNative workflow contextNative Inventory List usage
EquipmentVerifySuite capability, verify tierEquipment schedulingCompanion Scheduler
API and SSOAPI/webhooks; verify SSO and tierREST API and SAML SSOREST API; verify SSO and tierEnterprise API and SSO
ExportFull list; item audit CSVAccount ZIP with exceptionsProject export limits applyTest aliquot detail and history
Public pricing$50/month Academia; $250/month Industry; Enterprise customQuote requiredQuote required$99 Academic / $199 Corporate per user per year; Enterprise custom

The table shows why Quartzy vs LabArchives is not simply a price decision. Quartzy owns more of the purchase loop; LabArchives anchors stock use in its notebook environment. Labguru vs SciNote is likewise a scope decision: Labguru publicly documents more of a consolidated operations model, while SciNote exposes modular packaging that an RFP must price explicitly.

The 25-row RFP matrix

Table 2 is a reusable proof matrix. Buyers should replace “verify” with evidence from the contracted plan and attach screenshots or exports to each answer.

T.02
#CriterionRequired proofPublic baseline
1Item identityCreate unique item and duplicate checkVerify
2Lot identityAdd two lots under one catalog itemQuartzy instances; Labguru lot fields
3Aliquot lineageSplit one lot and preserve parent linkLabguru and LabArchives documented
4Location hierarchySite, room, freezer, shelf, boxLabArchives hierarchy documented
5ExpiryAlert and report by dateLabguru alerts; SciNote add-on
6Safety documentsAttach and retrieve safety data sheetLabArchives documented
7Custom fieldsRestrict types and required valuesVerify by plan
8Barcode creationPrint machine-readable labelsVerify printer and plan
9Mobile scanningScan, move, consume, and countQuartzy count scan documented
10Audit historyShow before/after value, actor, timeVerify complete field coverage
11RequestScientist submits controlled requestQuartzy and Labguru documented
12ApprovalRoute by role and valueQuartzy threshold documented
13SupplierPreferred supplier and catalog controlVerify by geography
14Purchase orderGenerate or pass PO numberQuartzy generation is add-on
15Partial receiptReceive part of an orderLabguru documented
16Goods receiptImmutable receipt evidenceQuartzy documented
17ReorderThreshold, notification, and requestVerify end to end
18ReservationReserve scarce stock without consumingVerify
19ELN consumptionLink use to experimentLabguru, SciNote, LabArchives documented
20Equipment schedulingBook and resolve collisionSciNote and LabArchives ecosystem documented
21APIRead/write item, lot, order, and historyScope-test each endpoint
22SSOSAML/OIDC, role mapping, deprovisioningLabguru SAML; LabArchives Enterprise
23Bulk importMap and reject malformed rowsVerify migration trial
24Complete exportItems, attachments, relations, audit historyTest with supplied data
25Validation evidenceSupplier package plus customer responsibilitiesVerify intended-use package

The matrix deliberately separates a vendor statement from demonstrated behavior. Chemical-inventory programs illustrate the operational stakes: the University of Nevada specifies minimum fields including chemical, vendor, quantity, and location ([50]) and applies a barcode to each incoming container ([51]). UCF describes container-level cradle-to-grave tracking ([52]), while the University of Washington requires laboratory and stockroom chemicals to be inventoried ([53]).

F.01
Where the purchase workflow sits
QuartzyProcurement-first
  • Combines requests, ordering, receiving, inventory, and a supplier marketplace.
  • Direct Quartzy purchasing is US-only.
LabArchives InventoryELN ecosystem
  • Recorded ELN use deducts inventory automatically and updates usage history.
  • Inventory tracks orders, but purchasing occurs in an institutional system or with the vendor.

Quartzy owns more of the purchase loop; LabArchives anchors stock use in its notebook environment.

08

Performance and Benchmarks

No independent, current head-to-head benchmark was found for transaction latency, scan throughput, search speed, uptime, or implementation effort across all four products. That absence should remain unknown, not become a zero. Procurement should benchmark each offered configuration using the same seed data, roles, and devices.

Use this five-workflow demonstration script:

  • Receive a lot: request, approve, order, partially receive, attach a certificate, assign expiry and location, then inspect history.
  • Split aliquots: create three aliquots, move one, consume one in an experiment, and prove the parent relationship.
  • Reserve an item: reserve scarce stock, prevent over-allocation, release it, and inspect notifications.
  • Reorder: cross a threshold, route approval, apply a preferred supplier, receive the replacement, and reconcile quantity.
  • Export everything: export items, lots, aliquots, attachments, users, permissions, orders, and audit history, then reconstruct one record outside the application.

For regulated use, test controls rather than labels. FDA highlights limiting access to authorized users ([54]). NIST calls for audit records that establish event, time, source, outcome, and identity ([55]) and protection against unauthorized modification or deletion ([56]).

F.02
Five-workflow demonstration script
01Receive a lot

Request, approve, order, partially receive, attach a certificate, assign expiry and location, then inspect history.

02Split aliquots

Create three aliquots, move one, consume one in an experiment, and prove the parent relationship.

03Reserve an item

Reserve scarce stock, prevent over-allocation, release it, and inspect notifications.

04Reorder

Cross a threshold, route approval, apply a preferred supplier, receive the replacement, and reconcile quantity.

05Export everything

Export items, lots, aliquots, attachments, users, permissions, orders, and audit history, then reconstruct one record outside the application.

Benchmark each offered configuration using the same seed data, roles, and devices.

That absence should remain unknown, not become a zero.

The final award should not rely on a marketing matrix. Use the same seed dataset and five workflows for every vendor, score only demonstrated capabilities, keep unknowns blank, and require a reconstructable export.

09

Data Analysis and Evidence

Quantitative public evidence is sparse and heterogeneous. Vendor adoption figures use different units, so Quartzy's 1,200-plus organizations cannot be compared directly with LabArchives' 450,000-plus scientists and professors. They indicate reach, not active-user rates, retention, or inventory transaction volume. LabArchives' 90-day trial is useful for a structured proof, while SciNote's five daily Premium project-export requests per user per organization is a workflow constraint to test at migration scale.

A peer-reviewed 2024 study of ELN use analyzed 384 students across 13 course sections ([57]). It found 80.3% preferred the electronic format after use ([58]), but no significant change in first lab-report grades ([59]). Its reported $13 to $15 per student Classroom Edition fee ([60]) is not a current commercial Inventory price. The lesson is methodological: preference, learning outcome, and price are different measures.

Table 3 gives a weighted-score worksheet. Formula: criterion weight × verified score, where the score is 1 to 5. Leave a product cell blank until the offered plan passes the scripted proof. The example weights total 100, but they are editorial starting points, not measured market preferences.

T.03
CriterionWeightQuartzyLabguruSciNoteLabArchives
Inventory traceability20
Request-to-receipt control20
ELN and experiment linkage15
Integration and identity10
Audit and validation evidence15
Export and reversibility10
Usability and mobile workflow5
Total cost and contract fit5

This prevents an undocumented feature from becoming an implied weakness. UK procurement guidance similarly says award criteria should be clear, measurable, specific, and proportionate ([15]), with an assessment methodology describing scoring ([61]). Distinct criteria reduce double counting ([62]).

F.03
Editorial starting weights for the proof worksheetweight
Source: Table 3
10

Implications and Future Directions

Small lab decision tree

  • Purchasing is the daily bottleneck: start with Quartzy, then verify geography, add-ons, and export.
  • The institution already standardizes LabArchives: test Inventory and Scheduler before adding another identity and support boundary.
  • Experiments are the system of record: compare SciNote and Labguru first, then prove request-to-receipt depth.
  • Needs are still unclear: run a spreadsheet cleanup and workflow inventory before issuing an RFP.

Scaling biotech decision tree

  • Keep the current ELN: compare Quartzy as a procurement layer with the incumbent's inventory module, including integration ownership.
  • Consolidate lab operations: shortlist Labguru, then prove configuration governance, APIs, validation evidence, and complete export.
  • Prefer modular ELN expansion: shortlist SciNote with every required add-on named in the commercial schedule.
  • Operate in a regulated boundary: document intended use, user requirements, risk assessment, supplier evidence, customer testing, change control, and periodic review.

For computerised systems used as part of GMP-regulated activities, the European Commission’s current Annex 11 says, “The application should be validated; IT infrastructure should be qualified” ([13]). This is a lifecycle consideration, not a checkbox a vendor can complete alone.

11

Frequently Asked Questions (FAQs)

Which is the best lab inventory software?

There is no universal winner. Quartzy is best aligned with procurement-first workflows; Labguru with broad suite consolidation; SciNote with ELN-centered modularity; and LabArchives Inventory with organizations already using its notebook ecosystem. The RFP proof should decide the winner for the actual operating model.

Is Quartzy an alternative to LabArchives?

Yes for inventory and order tracking, but not as a like-for-like architecture. Teams evaluating Quartzy alternatives or searching for LabArchives inventory software should compare the entire purchase-to-consumption path. Quartzy includes a supplier marketplace and deeper purchase workflow, while LabArchives connects inventory consumption to its ELN and leaves purchasing in an external procurement system.

When is an electronic lab notebook with inventory management preferable?

An electronic lab notebook with inventory management is preferable when scientists must connect material identity, quantity, and use directly to experimental records. A procurement-first tool is preferable when request, approval, supplier, purchase order, and receiving controls dominate the workload.

What are the main lab inventory software selection criteria?

The core lab inventory software selection criteria are item and lot traceability, aliquot lineage, locations, expiry, barcode workflow, request-to-receipt control, ELN linkage, equipment scheduling, permissions, audit history, integrations, validation evidence, and reconstructable export. Buyers should weight these criteria against their operating model and score only demonstrated behavior.

Do these tools support 21 CFR Part 11?

Several vendors publish Part 11-related claims or controls, but software alone does not make an organization compliant. Verify access, audit trail, signatures, record protection, validation documentation, procedures, training, and the exact contracted configuration. Buyers should validate intended use.

What should be exported before signing a contract?

Require a representative export of items, lots, aliquots, locations, attachments, suppliers, orders, users, roles, links to experiments, and complete audit history. Also document format, API limits, assistance fees, retention after termination, deletion evidence, and how relationships can be reconstructed.

12

Conclusion

The defensible answer to Quartzy vs Labguru vs SciNote vs LabArchives is a shortlist by operating model. Quartzy merits an RFP when request, approval, supplier, order, receipt, and stock updates form the core workflow. Labguru merits one when a scaling organization wants ELN, inventory, and operational functions in a common suite. SciNote merits one when research records are primary and the buyer is comfortable specifying paid inventory capabilities explicitly. LabArchives Inventory merits one when notebook alignment, institutional identity, and equipment scheduling outweigh the need for native purchasing.

The final award should not rely on a marketing matrix. Use the same seed dataset and five workflows for every vendor, score only demonstrated capabilities, keep unknowns blank, and require a reconstructable export. For regulated use, evaluate the supplier package and the customer's validation responsibilities together. That approach turns a broad laboratory inventory management software comparison into evidence a lab operations lead, R&D IT owner, procurement team, and quality unit can all review.

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Sources / 62
Adrien Laurent

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I'm Adrien Laurent, Founder & CEO of IntuitionLabs. With 25+ years of experience in enterprise software development, I specialize in creating custom AI solutions for the pharmaceutical and life science industries.

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